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"description": "At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com\nAs guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.\nJob Function:\nTechnology Product & Platform ManagementJob Sub Function:\nSoftware Engineering – Connect Healthcare & CommerceJob Category:\nScientific/TechnologyAll Job Posting Locations:\nRaritan, New Jersey, United States of AmericaJob Description:\nWe seek a creative, kind and adaptable person who can collaborate with many different types of people who request our technology expertise and influence. Our work spans all Johnson & Johnson’s business units, so it is imperative that this Engineer can multi-task and effectively manage competing priorities. Strong communication skills are just as important as technical acumen. Besides possessing the ability to help shape our technology platforms with business leaders, guiding software development teams around the world is another vital component of this job. You shall serve as a role model for several hundred software developers, so treating others with dignity and respect, while embodying the values of our Credo, are a must. Honoring the uniqueness of each individual is a key component of our commitment to diversity, equity, and inclusion.\nThe Senior Software Engineer will be asked to help create solutions and solve critical business needs that involve a variety of technologies and methodologies: Salesforce.com Development, Full Stack Development, API Management, Test Automation, DevOps, Generative AI, Prompt Engineering, retrieval-augmented generation, AI-assisted workflow automation, Agile SCRUM, Reliability & Security.\nSpecific Responsibilities:\n\n• Recommend appropriate technology solutions to business partners and guide development teams in how to best implement solutions.\n\n• Act as primary liaison between our business technology and engineering groups.\n\n• Create roadmaps for assigned platforms.\n\n• Ensure technology stack best practices, automation, scalable design, and programmatic standards.\n\n• Knowledge of data governance, consent management, privacy, email regulatory compliance, GDPR, CPRA, and enterprise security expectations\n\n• Propose ideas for innovative ways to improve assigned technology platforms.\n\n• Serve as a thought leader for our engineering community.\n\n• Ability to evaluate AI use cases for feasibility, risk, business value, data readiness, privacy, security, and compliance before implementation.\n\n• Ability to partner with business and technical teams to turn AI opportunities into documented requirements, prototypes, measurable success criteria, and production-ready solutions.\n\n• Hands on software development and engineering.\n\nQualifications:\n\n• A minimum of a bachelor’s degree is required.\n\n• A minimum of 10 years of software engineering experience is required.\n\n• Experience leading agile software development teams is required.\n\n• A successful track record in delivering software products for large-scale projects is required.\n\n• Experience with architecting, developing, and launching applications that include web, mobile, API, and back-end connectivity is required.\n\n• Experience with source code management using Git.\n\n• Experience with Atlassian tools, especially JIRA, is required.\n\n• A deep knowledge of Javascript, JAVA and REST/SOAP is required.\n\n• Experience in programming Apex, Agentforce ,SFDC declarative build, and/or Salesforce certifications is strongly preferred.\n\n• Experience in Continuous Integration (CI), Continuous Delivery (CD), and tools migration for projects on various platforms such as Jenkins, GitLab, TravisCI, or others is required.\n\n• Experience with GxP software development is preferred.\n\n• Experience with HIPAA compliance in software development is preferred.\n\n• Hands on experience in networking, databases, and cloud systems is preferred.\n\n• Extensive knowledge in various scripting languages and system & server administration is preferred.\n\n• Experience with architecting, integrating, and testing applications in AWS/Azure/Google Cloud Platform environments, leveraging cloud services, is preferred.\n\n• The ability to create, develop, and deploy containers to support client applications is preferred.\n\n#JNJTECH\n#LI-Hybrid\nJohnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.\nJohnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.\nRequired Skills:\nPreferred Skills:\nAgility Jumps, Coaching, Critical Thinking, Human-Computer Interaction (HCI), Organizing, Presentation Design, Requirements Analysis, Researching, Scripting Languages, Software Acquisitions, Software Development Life Cycle (SDLC), Software Development Management, Software Engineering Practices, Software Quality Assurance (SQA), Technical Writing, Technologically SavvyThe anticipated base pay range for this position is :\nThe anticipated base pay range for this position is: $117.000- $201.250Additional Description for Pay Transparency:\nSubject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits",
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"description": "About Us:\nBased in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.\n\nIdeal Background:\nThis role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.\n\nProject Overview:\nAs a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.\n\nWhat Does a Typical Day Look Like?\n\n• Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.\n\n• Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.\n\n• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.\n\n• Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns.\n\n• Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.\n\n• Design verification mechanisms that can automatically verify a solution to a software engineering task.\n\nRequired Skills:\n\n• Several years of software engineering experience (3 years or more)\n\n• Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.\n\n• Experience building full-stack applications and deploying scalable software using modern languages and tools.\n\n• Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.\n\n• Excellent oral and written communication skills for clear, structured evaluation rationales.\n\nEngagement Details:\n\n• Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week\n\n• Type: Contractor (no medical/paid leave)\n\n• Duration: 1 month (potential extensions based on performance and fit)\n\n• Location: Candidates must be based in the United States\n\nEvaluation Process:\n\n• The application process takes 15–30 minutes.\n\n• Completion of an AI video interview is required.",
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"description": "About The Job\n\nMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.\n\nPosition: Software Engineer Expert\n\nType: Contract\n\nCompensation: $100–$150/hour\n\nLocation: Remote\n\nRole Responsibilities\n\n• Evaluate AI-generated artifacts for usability in a software engineering context.\n\n• Identify factual, aesthetic, and presentation errors in slides, spreadsheets, and documents.\n\n• Provide clear, structured written feedback to improve AI model outputs.\n\n• Apply deep subject-matter expertise to grade outputs and enhance quality.\n\n• Work independently and asynchronously to meet deadlines while improving AI model performance.\n\nQualifications\n\nMust-Have\n\n• 5+ years of relevant professional experience in Software Engineering at a top firm in the United States, United Kingdom, Canada, Australia, or New Zealand.\n\n• Native or professional fluency in English.\n\n• Highly proficient in Microsoft Office and Google Workspace (PowerPoint, Excel, Word).\n\nPreferred\n\n• Advanced degree (Master's or higher) from a reputable institution.\n\nApplication Process (Takes 20–30 mins to complete)\n\n• Upload resume\n\n• AI interview based on your resume\n\n• Submit form\n\nResources & Support\n\n• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome\n\n• For any help or support, reach out to: support@mercor.com\n\nPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.",
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"date_posted": "2026-09-13",
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"description": "Disney Entertainment and ESPN Product & Technology\nTechnology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.\n\nThe team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.\n\nHere are a few reasons why we think you’d love working here:\n\n• Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.\n\n• Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.\n\n• Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems.\n\nProduct Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.\n\nJob Summary:\nAs a Senior Product Software Engineer on the News Web Squad, you will be part of a team focused on building and maintaining the web sites for ABC News and the eight ABC Owned and Operated Television Stations. We surface personalized video, tally election results, and keep local audiences connected to breaking news in their communities. We work alongside engineers from ESPN and Disney's entertainment brands to support each other's products and share solutions. Our team uses modern server-side and web technologies such as TypeScript, JavaScript, Node and React to deliver scalable and elegant solutions for new product features and core site architecture.\n\nIf you:\n\n• Employ a flexible attitude and can work constructively in a diverse team setting\n\n• Are passionate about web development\n\n• Value learning and being exposed to new experiences\n\n• Demonstrate determination in finding solutions to complex puzzles\n\n• Have the curiosity to research and learn new technologies\n\n• Care about bringing people closer to their world …then working at Disney is unlike anything else.\n\nWe have the latest technology, game-changing ideas, and world-class talent. Come be a part of our team and help us find new ways to interact with users, however and wherever they connect with our brands.\n\nJob Responsibilities:\n\n• Build and ship product-level features for ABC News and the ABC OTV station sites\n\n• Build solutions for problems of sizeable scope and complexity\n\n• Develop specifications and technical designs for new features, refactors, and architectural improvements\n\n• Contribute to the evolution of our engineering practices by recommending improvements to development, coding, maintenance, and system standards as you spot opportunities\n\n• Review code from peers for design, testability, and usability; raise the bar on what \"done\" looks like across the team\n\n• Identify opportunities to improve our systems, products, and services with each iteration: propose investments in tooling, performance, accessibility, observability, or developer experience and lead the work to deliver them\n\n• Influence and drive software engineering best practices within the team, working independently with minimal guidance and exercising judgment in selecting methods and techniques\n\n• Serve as a \"go-to\" technical resource for less experienced engineers. Mentor through code reviews, design discussions, on-call rotations, and 1:1 guidance\n\nBasic Qualifications:\n\n• Minimum of 5 years of relevant professional software engineering experience.\n\n• Extensive experience with TypeScript, JavaScript, React, Node.js, and modern front-end web development technologies and best practices.\n\n• Proven ability to own products and features throughout the full software development lifecycle, from design and implementation through deployment and ongoing support.\n\n• Experience designing, building, and delivering scalable features and applications that support high-traffic environments.\n\n• Strong commitment to software quality, including automated testing, code reviews, and continuous improvement of engineering standards.\n\n• Demonstrated ability to research, analyze, and develop solutions for complex technical challenges.\n\n• Excellent verbal and written communication skills with a strong attention to detail.\n\n• Highly motivated, self-directed, and results-oriented with a proactive approach to problem-solving.\n\nPreferred Qualifications\n\n• Experience mentoring engineers and providing technical leadership throughout the successful delivery of complex projects.\n\n• Proven experience building and scaling consumer-facing web applications that serve large and diverse user bases.\n\n• Experience integrating with content management systems (CMS) and content delivery pipelines.\n\n• Familiarity with A/B testing, experimentation frameworks, and data-driven decision-making practices.\n\n• Experience developing personalized user experiences, recommendation engines, and feed-driven interfaces.\n\n• Demonstrated ability to influence technical direction, drive architectural improvements, and contribute to long-term engineering strategy.\n\n• Experience optimizing application performance, scalability, and overall user experience.\n\n• Comfortable leveraging AI-powered development tools and coding assistants to enhance productivity, with strong judgment in validating outputs, ensuring code quality, and guiding others on effective adoption.\n\nExperience with:\n\n• AWS or another major cloud provider\n\n• CI/CD pipelines and modern deployment tooling\n\n• Web accessibility (WCAG) standards\n\n• Monitoring/observability tools such as New Relic or Datadog\n\n• High-traffic consumer products\n\nRequired Education\nBS Computer Science or related technical discipline or its equivalent\n\n#DISNEYTECH\n\nThe hiring range for this position in New York, NY is $148,700 to $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.",
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"description": "Job Title: Cyber Software Engineer\n\nJob Category: Engineering\n\nTime Type: Full time\n\nMinimum Clearance Required to Start: Secret\n\nEmployee Type: Regular\n\nPercentage of Travel Required: None\n\nType of Travel: None\n\n* * *\n\n### The Opportunity:\nJoin the Cyber Science & Technology (CS&T) team supporting advanced research, development, experimentation, and operational support to tackle challenges in networking and cybersecurity. CS&T engineers help design, prototype, and transition cutting‑edge capabilities that enhance national security missions. You will contribute to mission‑driven R&D, including customer‑aligned demonstrations, internal IRAD efforts, and cyber capability development supporting programs and customers across the DoD and IC.\n\n###\n\n###\n\nResponsibilities:\n• Assist in the design and development of innovative cyber tools, techniques, and prototypes that advance next‑generation cybersecurity and networking capabilities.\n• Support integration and demonstration of experimental capabilities for customer engagements, including planning and execution of capability demonstrations.\n• Assist in implementing and evaluating algorithms, automation approaches, analytics, and modeling techniques relevant to cyber missions.\n• Assist with the design and implementation of realistic cyber‑physical test environments to measure system resilience, performance, and operational utility.\n• Collaborate with software engineers, systems engineers, data scientists, and mission operators to transition prototypes into operational workflows.\n• Prepare technical documentation, status reports, experiment plans, and demonstration materials for internal and external stakeholders.\n• Participate in technical reviews, program planning sessions, and cross‑organizational coordination with CS&T leadership.\n\n###\n\n###\n\nQualifications:\nRequired:\n• 3 years of hands‑on experience in software design & development, cybersecurity R&D, systems analysis, or capability development.\n\n### • Active SECRET clearance\n\n### • Background in networking, distributed systems, or cyber operations concepts.\n• Proficiency in Python and C/C++.\n• Familiarity with networking and cyberspace modeling & simulation capabilities.\n• Ability to work in research‑oriented, fast‑moving environments with multidisciplinary teams.\n• Knowledge in Algorithms & Data Structures\n• Understanding of networking concepts and protocols. (E.g., TCP/IP, TLS)\n• Systems engineering experience including profiling and code optimization (CPU, memory, latency)\n• Experience with Python – incl. Pytorch, tensorflow, sklearn, scipy, virtual environment management\n• Experience with network programing and protocol: Socket programing such as TCP/UDP, routing protocols, L2/L3 tunneling.\n\n###\n\nDesired:\n• Experience supporting government research-oriented customers or service cyber components.\n• Experience developing cyber‑physical test ranges, simulation environments, or digital twins.\n• Familiarity with orchestration frameworks, cloud environments, or advanced analytics.\n• Experience in computer vision, machine learning, mathematical optimization, understanding of video encoding\n• Experience working on multithreaded, distributed high-performance systems\n• Active Top Secret clearance.\n\n-\n\nWhat You Can Expect:\n\nA culture of integrity.\n\nAt CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.\n\nAn environment of trust.\n\nCACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.\n\nA focus on continuous growth.\n\nTogether, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.\n\nPay Range:\n\nThere are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.\n\nThe proposed salary range for this position is:\n\n$79,400 - $162,700\n\nCACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.",
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"description": "As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a Best Place to Work in Technology 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference. Want to learn more about a career in technology and data at Fitch? Visit: https://careers.fitch.group/content/Technology-and-Data/?locale=en_US Fitch Solutions is currently seeking a Senior Software Engineer, AI based out of our New York office. Fitch Solutions is a leading provider of insights, data and analytics. It informs investment strategies, strengthens risk management capabilities and helps identify strategic opportunities. Its analysts, lawyers, journalists and economists offer in-depth views on credit markets/risk and individual credits, ESG, developed and emerging markets, and industry sectors. Fitch Solutions is part of Fitch Group, a global leader in financial information services with operations in over 30 countries. Fitch Group is owned by Hearst. By becoming a part of the Fitch Solutions team, you will join a group of colleagues driving high-impact AI initiatives and identifying cross-product synergies across our external product portfolio. We advance innovation by uncovering strategic opportunities and delivering scalable, enterprise-grade solutions. You'll work in a dynamic environment where innovation is encouraged, and collaboration is key to developing solutions that address the evolving needs of global markets. With a portfolio of best-in-class, we offer you the opportunity to advance your career while contributing to a company known for its expertise and commitment to excellence. What We Offer: Create transformative AI systems with measurable impact – Design and deploy production-ready generative AI platforms, multi-agent systems, and intelligent automation; tackle frontier AI challenges witnessing your innovations reshape products in real-time. Leverage cutting-edge AI innovation – Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers for Fitch Solutions; stay at the bleeding edge of AI technology with access to the latest tools, frameworks, and platforms. Lead enterprise-wide AI standardization initiatives – Build GenAI solutions across multiple business units while creating unified patterns, reusable components, and standardization frameworks that enable AI at enterprise scale across Fitch Solutions. Address complex, cross-functional challenges – Work at the intersection of engineering and product development, building systems that leverage GenAI agentic workflows and production-scale deployment; tackle problems that will expand your expertise and push the boundaries of what's technically possible. We’ll Count on You To: Lead transformative GenAI system development – Spearhead the creation of sophisticated generative AI solutions including enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, applied GenAI applications, and Model Context Protocol (MCP) implementations; deliver production-grade, scalable code that meets enterprise performance standards. Pioneer AI innovation through hands-on engineering – Experiment with cutting-edge foundation models, design and implement GenAI/ML architectures, assess emerging AI technologies, develop rapid proofs-of-concept, and bridge the gap between research breakthroughs and production-ready capabilities that generate tangible business value. Build robust production infrastructure – Develop enterprise-scale APIs (FastAPI) for deployment, architect and implement comprehensive cloud-based AI infrastructure on AWS/Azure, and ensure systems are optimized for performance, reliability, and scalability. Demonstrate full-stack engineering excellence – Apply proficiency across the entire technology stack to build enterprise-grade websites and applications, integrating AI capabilities seamlessly into user-facing products and backend systems. Build and deliver reliable AI solutions – Participate in the full software development lifecycle for AI initiatives, contribute technical insights to design discussions, apply engineering best practices. Collaborate and communicate effectively – Partner with cross-functional teams including product managers, engineers and business stakeholders to translate complex technical concepts, gather requirements, and ensure AI solutions directly address user needs and strategic objectives. What You Need to Have: 7+ years of professional experience designing, developing, and deploying production-grade AI/ML systems, with a proven track record of delivering sophisticated generative AI and machine learning solutions at scale. 5+ years in full stack software engineering building and deploying real-world enterprise applications; advanced Python programming skills with strong backend development capabilities. Proven experience in developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration in real-time enterprise environments. Hands-on enterprise experience developing GenAI applications using LangChain and LangGraph frameworks with expertise in agent architecture design, state management, memory systems, and graph-based workflow orchestration. Strong technical expertise in embeddings, vector databases for AI integration, and LLM integration/fine-tuning across platforms such as OpenAI, LLaMA; solid understanding of ML algorithms with production experience using frameworks and tools including FastAPI, PyTorch/TensorFlow, and MLflow. Extensive experience building and integrating generative AI solutions into production environments, including working with large language models, designing multi agentic systems and embedding AI capabilities into existing product ecosystems. Strong foundation in MLOps practices, containerization technologies (Docker, Kubernetes/AWS EKS), cloud infrastructure (AWS/Azure), AI-specific services (AWS Bedrock, SageMaker, Azure AI Search), and orchestration tools. Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse stakeholders and work effectively across cross-functional teams. Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning, financial wellness and tuition reimbursement programs that empower you to achieve your short and long-term goals Promoting Health & Wellness: Comprehensive healthcare offerings that prioritize a healthy body & mind Supportive Parenting Policies: Family-first policies, including a generous global parental leave plan, designed to help you balance career and family life effectively Dedication to Giving Back: Paid volunteer days and support for community engagement initiatives At Fitch, AI is embedded in how we work every day—supporting smarter decision-making, streamlining workflows, and enabling new ways to create value for our business and clients. Intelligent solutions are increasingly part of our day-to-day operations, helping teams work more efficiently and think differently as we continue to evolve. We’re looking for colleagues who are comfortable operating in an AI-enabled environment—or who are curious, adaptable, and eager to build their AI literacy over time. We value professionals who embrace technology as part of continuous learning and who are committed to using it thoughtfully to enhance how work gets done. Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. FOR NEW YORK ROLES ONLY Expected base pay rates for the role will be between $140,000 and $150,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch’s total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch. #LI-KN! #LI-HYBRID #LI- GROUP",
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"7+ years of professional experience designing, developing, and deploying production-grade AI/ML systems, with a proven track record of delivering sophisticated generative AI and machine learning solutions at scale",
"5+ years in full stack software engineering building and deploying real-world enterprise applications; advanced Python programming skills with strong backend development capabilities",
"Proven experience in developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration in real-time enterprise environments",
"Hands-on enterprise experience developing GenAI applications using LangChain and LangGraph frameworks with expertise in agent architecture design, state management, memory systems, and graph-based workflow orchestration",
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"Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse stakeholders and work effectively across cross-functional teams"
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"Create transformative AI systems with measurable impact – Design and deploy production-ready generative AI platforms, multi-agent systems, and intelligent automation; tackle frontier AI challenges witnessing your innovations reshape products in real-time",
"Leverage cutting-edge AI innovation – Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers for Fitch Solutions; stay at the bleeding edge of AI technology with access to the latest tools, frameworks, and platforms",
"Address complex, cross-functional challenges – Work at the intersection of engineering and product development, building systems that leverage GenAI agentic workflows and production-scale deployment; tackle problems that will expand your expertise and push the boundaries of what's technically possible",
"Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location",
"A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity",
"Investing in Your Future: Retirement planning, financial wellness and tuition reimbursement programs that empower you to achieve your short and long-term goals",
"Promoting Health & Wellness: Comprehensive healthcare offerings that prioritize a healthy body & mind",
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"Dedication to Giving Back: Paid volunteer days and support for community engagement initiatives",
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"Build robust production infrastructure – Develop enterprise-scale APIs (FastAPI) for deployment, architect and implement comprehensive cloud-based AI infrastructure on AWS/Azure, and ensure systems are optimized for performance, reliability, and scalability",
"Demonstrate full-stack engineering excellence – Apply proficiency across the entire technology stack to build enterprise-grade websites and applications, integrating AI capabilities seamlessly into user-facing products and backend systems",
"Build and deliver reliable AI solutions – Participate in the full software development lifecycle for AI initiatives, contribute technical insights to design discussions, apply engineering best practices",
"Collaborate and communicate effectively – Partner with cross-functional teams including product managers, engineers and business stakeholders to translate complex technical concepts, gather requirements, and ensure AI solutions directly address user needs and strategic objectives"
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