1 day ago
Base Salary
$180k - $235k/yr
Responsibilities
- Design and develop production-grade LLM and agentic applications using multi-step agents, tool calling, retrieval-augmented generation, and workflow orchestration.
- Build evaluation frameworks, guardrails, monitoring, and operational capabilities to improve AI feature quality, safety, latency, and cost.
- Prototype emerging AI approaches and harden successful solutions for production deployment.
- Lead code reviews, design reviews, architecture discussions, and technical standards for AI-assisted development.
- Mentor engineers on applied AI patterns, agent design, prompting, task decomposition, output verification, and AI coding assistants.
- Partner with product managers, designers, architects, and engineering teams to define solutions, scope projects, and communicate tradeoffs and risks.
- Respond to bugs, incidents, and feature requests and diagnose hallucinations, model regressions, non-deterministic behavior, and prompt or tool failures.
- Evaluate new AI-enabled development tools and workflows and contribute to FactSet’s AI strategy.
Requirements
- Bachelor’s degree in computer science or a relevant field.
- 8–10+ years of experience developing, testing, and deploying high-quality software.
- Hands-on experience building and deploying applications with LLMs and agentic technologies, including prompt engineering, RAG, function or tool calling, agent orchestration frameworks, and MCP or similar protocols.
- Experience using AI coding assistants such as Claude Code and understanding the AI-driven development lifecycle.
- Strong software architecture and design skills for scalable, observable, and maintainable systems.
- Experience designing evaluations for non-deterministic systems and improving quality using data.
- Demonstrated ability to provide code review feedback, develop forward-looking designs, mentor engineers, and establish AI development standards and guardrails.
- Ability to understand FactSet’s business and client base and connect engineering work to broader objectives.
- Preferred experience with financial data, analytics, investment workflows, cloud platforms, containerization, MLOps/LLMOps, model evaluation, fine-tuning, latency and cost optimization, AI developer tooling, internal platforms, or open-source projects.
- Excellent communication skills and the ability to collaborate across teams, influence without direct authority, adapt to changing requirements, and learn new models and tools.
Benefits
- Health, life, and disability insurance; retirement savings plans; and a discounted employee stock purchase program.
- Paid holidays, family leave, and flexible “moments that matter” days.
- Flexible work accommodations supporting work/life harmony.
- Career progression planning with dedicated monthly time for learning and development.
- Business Resource Groups, volunteerism and sustainability opportunities, and a collaborative global community.
- The budgeted salary range for Connecticut and New York is $180,000.00–$235,000.00.
Categories
About FactSet
FactSet builds a financial data and analytics platform used by asset managers, investment banks, hedge funds, and wealth managers for research, portfolio management, trading, and risk. Its products include the FactSet workstation, data feeds and APIs, and workflow tools like OMS/EMS, sold primarily via subscription licensing. Founded in 1978 and headquartered in Norwalk, Connecticut, FactSet is a public company listed on the NYSE (ticker: FDS).