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About This Role
Requisition ID: 49721
Business Unit: Fitch Group
Category: Information Technology
Location:New York, NY, US
Date Posted: Apr 1, 2026
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* operate
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.
Salary Context
This $130K-$150K range is in the lower quartile for AI Software Engineer roles in our dataset (median: $189K across 518 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 26,159 AI roles we're tracking, AI Software Engineer positions make up 2% 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 $235,100 based on 665 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($140K) sits 40% below the category median. Disclosed range: $130K to $150K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
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: $150K - $150K.
Location Context
AI roles in New York pay a median of $200,000 across 1,670 tracked positions. That's 9% 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 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 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 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). 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 (2,416) are outnumbered by mid-level (16,247) and senior (5,153) 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 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 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 $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. 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 $293,500 median, while Prompt Engineer roles sit at $122,200. 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: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 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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