Senior Software Engineer, Full Stack - AI
We 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 applications
- Ownership of full-stack delivery in a modern, cloud-native engineering environment
- Collaboration with senior engineers, architects, and AI platform teams
- Exposure to internal AI platforms, agentic frameworks, and GenAI enablement initiatives
- Strong engineering culture emphasizing design quality, scalability, and operational excellence
We’ll Count on You To:
Full Stack Product Development
- Design, develop, and maintain end-to-end web applications, including frontend UI, backend services, and data layers
- Build scalable, well-structured APIs and service integrations
- Translate product and business requirements into high-quality technical solutions
- Contribute to system design discussions and architectural decisions
- Build reusable data transformation logic using SQL and Python, and partner with analytics and product teams to deliver business‑ready datasets.
Own features through the full development lifecycle: design build deploy
AI / LLM Feature Engineering
- Develop and integrate LLM-powered capabilities such as chat interfaces, content generation, summarization, or decision support
- Implement retrieval-augmented generation (RAG) and context management patterns where applicable
- Work with internal AI platforms or approved LLM APIs to ensure consistency and compliance
- Optimize LLM usage for latency, cost, and quality tradeoffs
- Collaborate with AI platform teams on model integration patterns and best practices
Cloud & Platform Engineering
- Deploy and operate services in cloud environments using modern DevOps practices
- Implement observability (logging, metrics, tracing) to ensure production reliability
- Improve performance, scalability, and resilience of existing systems
- Participate in incident resolution and root-cause analysis for production issues
Secure & Governed Development
- Build AI-enabled features that comply with internal security, data handling, and AI governance standards
- Contribute required technical documentation for AI-enabled systems
- Ensure responsible use of LLMs, especially when handling proprietary or sensitive data
What You Need to Have:
- 7+ years of experience designing and developing distributed application architecture of moderate-to-high complexity.
- 3+ years in software engineering or applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertise
- Hands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration.
- Proficiency 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/TypeScript.
- Hands‑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 Dagster.
- Experience working in high-performance teams using Agile methodologies.
- Experience with CI/CD concepts and implementing build and deployment pipelines incorporating Security, Automation and Quality (DevSecOps).
- Familiarity with modern data architecture and engineering technologies
- Excellent communication skills with ability to articulate ideas clearly and concisely.
Why 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.
For more information please visit our websites
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 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.
