Senior Software Engineer, Full Stack - AIWe are seeking a Full Stack Software Engineer to design, build, and scale AI-enabled products that integrate Large Language Models (LLMs) into core business workflows. This role is focused on end-to-end product development-from frontend experiences to backend services and AI integrations-delivering secure, scalable, and production-grade solutions. You will work closely with Product, Design, Platform, and Data/AI partners to turn complex requirements into reliable, high-impact software.What We Offer:Opportunity to work on AI-first product development, embedding LLM capabilities into real-world applicationsOwnership of full-stack delivery in a modern, cloud-native engineering environmentCollaboration with senior engineers, architects, and AI platform teamsExposure to internal AI platforms, agentic frameworks, and GenAI enablement initiativesStrong engineering culture emphasizing design quality, scalability, and operational excellenceWe'll Count on You To:Full Stack Product DevelopmentDesign, develop, and maintain end-to-end web applications, including frontend UI, backend services, and data layersBuild scalable, well-structured APIs and service integrationsTranslate product and business requirements into high-quality technical solutionsContribute to system design discussions and architectural decisionsBuild reusable data transformation logic using SQL and Python, and partner with analytics and product teams to deliver business-ready datasetsOwn features through the full development lifecycle: design ? build ?
deploy ? operateAI / LLM Feature EngineeringDevelop and integrate LLM-powered capabilities such as chat interfaces, content generation, summarization, or decision supportImplement retrieval-augmented generation (RAG) and context management patterns where applicableWork with internal AI platforms or approved LLM APIs to ensure consistency and complianceOptimize LLM usage for latency, cost, and quality tradeoffsCollaborate with AI platform teams on model integration patterns and best practicesCloud & Platform EngineeringDeploy and operate services in cloud environments using modern DevOps practicesImplement observability (logging, metrics, tracing) to ensure production reliabilityImprove performance, scalability, and resilience of existing systemsParticipate in incident resolution and root-cause analysis for production issuesSecure & Governed DevelopmentBuild AI-enabled features that comply with internal security, data handling, and AI governance standardsContribute required technical documentation for AI-enabled systemsEnsure responsible use of LLMs, especially when handling proprietary or sensitive dataWhat You Need to Have:7+ years of experience designing and developing distributed application architecture of moderate-to-high complexity3+ years in software engineering or applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertiseHands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestrationProficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.)Strong coding in Python and experience with frameworks/tools such as FastAPI, PyTorch/TensorFlow, MLflow; 3-5+ years of experience in designing and developing scalable web applications using modern front-end frameworks such as React/TypeScriptHands-on experience with modern data platforms and cloud environments (e.g., Snowflake, Databricks, AWS and/or Azure)Experience building and operating data pipelines, including batch and streaming patterns, with orchestration tools such as Airflow, ADF, or DagsterExperience working in high-performance teams using Agile methodologiesExperience with CI/CD concepts and implementing build and deployment pipelines incorporating Security, Automation and Quality (DevSecOps)Familiarity with modern data architecture and engineering technologiesExcellent communication skills with ability to articulate ideas clearly and conciselyWhy Fitch?At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone. Every team member is essential to our business and each perspective is critical to our success.
We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority. We are building incredible things at Fitch, and we invite you to join us on our journey. Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings | Fitch Solutions | Fitch Learning.Fitch Group 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 $130,000 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.