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About This Role
Requisition ID: 50169
Business Unit: Fitch Group
Category: Information Technology
Location:New York, NY, US
Date Posted: Jun 10, 2026
Fitch Group is currently seeking a Senior Software Engineer, Full Stack based out of our NYC office.
*Fitch Group Technology has a number of agile teams that deliver world\-class innovative solutions to Fitch Group internal and external customers. This position will be within one of our agile teams delivering software products for our BMI business.*
What We Offer:
*In this position, you will have the opportunity to be a part of an exceptionally talented, bright and driven team, and apply your skills in novel ways. And you will have fun doing it! Our technology stack is modern \- cloud based, containerized, serverless and microservices oriented. You will play a key role in implementing tools and processes that aim to improve the quality of our end\-to\-end code while creating a more efficient and sustainable workflow for our customers. You will work in a hybrid (in\-office / Work from Home) arrangement, in a collaborative and supportive work environment where your ideas and contributions are valued with a focus on achievable improvements that get used every day.*
We’ll Count on You To:
- Design, develop and deploy cloud native container based financial applications
- Developing new GenAI backend in Python.
- Design, develop GenAI application Python and AWS Bedrock service.
- Define and document best practices and strategies regarding application deployment and infrastructure maintenance
- Optimize components to work seamlessly across different browsers and devices
What You Need to Have:
- 7\+ years of experience designing and developing distributed application architecture of moderate\-to\-high complexity.
- 5\+ years in python, vector database, FASTAPI, Pytest, Docker
- In\-depth knowledge and experience of Langchain, Langgraph, Agent development, MCP
- Experience with GenAI/RAG, Agentic RAG
- Experience with relational databases, particularly PostgresSql
- Experience with AWS Lambda, AWS Bedrock service, embedding models, Re\-ranker, Doclinq
- Experience in working with scrum, keeping track of your sprint item in JIRA and completing everything on time.
- Knowledge of performance testing frameworks including Mocha and Jest
- Ability to troubleshoot distributed systems.
- Ability to lead offshore team
- Experience working with multicultural global technology teams in the financial industry
- Exceptionally self\-motivated, self\-directed, and detail\-oriented
- Excellent communication, analytical, and problem\-solving skills
- 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.
In an uncertain macroeconomic environment, BMI's systematic, independent and data\-driven market insights, analysis and forecasts enable customers to recognize and assess risks and opportunities across markets and industries. For almost 40 years, we have provided impartial views to support our customers’ strategic plans and investment decisions.
Learn more:fitchsolutions.com/bmi
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 $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.
Section 3: Appendix – “About Company” Boilerplates
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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 Ratings is a leading provider of credit ratings, commentary and research. Dedicated to providing value beyond the rating through independent and prospective credit opinions, Fitch ratings offers global perspectives shaped by strong local market experience and credit market expertise. The additional context, perspective and insights we provide have helped fund a century of growth and enables our clients to make important credit judgements with confidence.
Fitch Solutions provides data, research and analytics to support informed decisions. We help clients excel at managing their credit risk, offer deep insight into the debt investment market, and provide comprehensive intelligence about the macroeconomic environment.
Fitch Learning is a leader in financial services training. With unrivaled breadth and depth of training, the company delivers learning solutions for apprentices and graduates, to those with 10\+ years’ experience in Financial Services. Our learning solutions encompass expert faculty, e\-learning, coaching and blended candidate assessments, improving individual contribution and collective business performance.
CreditSights, Covenant Review and LevFin Insights are becoming one, bringing together best in class research, covenant analysis and news on a new platform, with a unified interface and login. Now more than ever before, we give our clients the ability to KNOW MORE, RISK BETTER.
CreditSights was founded over 20 years ago with the goal of producing insightful, impartial research that would allow our clients to make prudent, profitable investment decisions in the global credit markets. CreditSights is a Fitch Solutions Company.
Our global institutional client base includes banks, investment advisors, mutual funds, pension managers, insurance companies, hedge funds, private equity investors and corporations. The independent research we provide is a leading voice in global credit markets, with our experts contributing to market news in Bloomberg, The Wall Street Journal, Forbes, Financial Times, Business Insider, Barron’s and many more.
In an uncertain macroeconomic environment, BMI's systematic, independent and data\-driven market insights, analysis and forecasts enable customers to recognize and assess risks and opportunities across markets and industries. For almost 40 years, we have provided impartial views to support our customers’ strategic plans and investment decisions.
Learn more:fitchsolutions.com/bmi
GeoQuant uses advances in political and computer science to create high\-frequency, systematic country risk data and analytics that are transparent and can be validated. Our geopolitical forecasts are highly accurate because they are built on robust models. When they’re wrong, you’ll know that, too. We let the data speak.
Fitch (China) Bohua Credit Ratings Ltd. Is licensed by the People’s Bank of China (PBOC) and the National Association of Financial Market Institutional Investors (NAFMII) to provide ratings services for China’s onshore bond market. The rating agency offers independent analysis, transparent methodologies and a rigorous ratings process in line with international best practice. Fitch Bohua provides forward\-looking ratings, in\-depth research, valuable data tools and insightful commentary. It is committed to supporting the development and internationalisation of China’s capital markets. Fitch Bohua is wholly owned by Fitch Ratings.
Powered by the human insight that has differentiated Fitch for over 100 years, Sustainable Fitch combines experience and heritage with the best ESG information available in the market today. Our suite of solutions provide a much\-anticipated, single source for the ESG focused financial community with tools, data, research and insights under one holistic, modular, user\-friendly ESG investing umbrella.
Salary Context
This $140K-$150K range is in the lower quartile for AI Software Engineer roles in our dataset (median: $190K across 219 roles with salary data).
Role Details
About This Role
AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.
The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.
Across the 3,823 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At Fitch Group, this role fits into their broader AI and engineering organization.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
What the Work Looks Like
A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
Skills Required
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.
Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
Compensation Benchmarks
AI Software Engineer roles pay a median of $232,000 based on 797 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($145K) sits 38% below the category median. Disclosed range: $140K to $150K.
Across all AI roles, the market median is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($275,000) and AI Safety ($274,200). By seniority level: Entry: $97,880; Mid: $165,000; Senior: $227,400; Director: $247,800; VP: $250,000.
Fitch Group AI Hiring
Fitch Group has 2 open AI roles right now. They're hiring across AI Software Engineer. Positions span New York, NY, US, Chicago, IL, US. Compensation range: $145K - $150K.
Location Context
AI roles in New York pay a median of $211,000 across 2,643 tracked positions. That's 5% above the national median.
Career Path
Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.
From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.
If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.
What to Expect in Interviews
Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.
When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
AI Hiring Overview
The AI job market has 3,823 open positions tracked in our dataset. By seniority: 112 entry-level, 1,798 mid-level, 1,516 senior, and 397 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (590 positions). The remaining 3,217 roles require on-site or hybrid attendance.
The market median for AI roles is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($275,000 median, 41 roles); AI Safety ($274,200 median, 55 roles); Research Engineer ($260,000 median, 434 roles).
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
The AI Job Market Today
The AI job market spans 3,823 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,629), Data Scientist (322), AI Software Engineer (279). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (112) are outnumbered by mid-level (1,798) and senior (1,516) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 397 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (590 positions), with 3,217 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,100. Top-quartile roles start at $253,500, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $275,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,979 postings), Aws (1,190 postings), Azure (899 postings), Rag (839 postings), Gcp (726 postings), Pytorch (595 postings), Prompt Engineering (595 postings), Claude (540 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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