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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying AI-driven applications, particularly with LLMs and agentic technologies. Proficient in establishing development standards, mentoring engineers, and navigating the complexities of AI-assisted workflows.
Highest-signal resume keywords
LLM DevelopmentAgentic TechnologiesAI Coding AssistantsSoftware ArchitectureMentoring Engineers
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Prompt EngineeringFunction/Tool CallingAgent Orchestration FrameworksModel EvaluationFine-TuningLatency OptimizationCost OptimizationEvaluation ApproachesAI Development StandardsCI/CD Best Practices
Soft Skills
Excellent CommunicationMentoringFeedback Reception
Tools & Technologies
Claude CodeCloud PlatformsContainerizationMLOpsLLMOps
Certifications & Qualifications
Bachelor’s Degree in Computer Science
Industry Keywords
Financial DataAnalyticsInvestment WorkflowsAI-Driven Development LifecycleResponsible AI Tooling
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Design, develop, test, and deploy production-grade LLM and agentic applications
- Build multi-step agents, tool-calling systems, retrieval-augmented generation, and workflow orchestration
- Deliver stable, high-quality features following testing, CI/CD, and operational-readiness best practices
- Build and maintain evaluation frameworks, guardrails, and monitoring for AI-driven features
- Prototype emerging approaches and harden successful solutions for production
- Use AI coding assistants and agentic workflows while maintaining quality, security, and maintainability
- Lead code and design reviews, including evaluation of AI-generated code
- Mentor engineers on applied AI patterns, agent design, prompting, task decomposition, and output verification
- Define and evolve standards for AI-assisted development, code review, testing, security, and responsible AI tooling
- Track advances in LLMs, agent frameworks, and developer tooling and translate them into team practices
- Partner with product managers, designers, architects, managers, and engineering peers on solution definition and scope
- Plan and drive projects while communicating tradeoffs, risks, and progress
- Respond to bugs, incidents, and feature requests
- Diagnose AI-specific issues such as non-deterministic behavior, hallucinations, model regressions, and prompt or tool failures
- Lead architecture discussions and brainstorming for new features and platform capabilities
- Evaluate and introduce AI-enabled development tools and workflows
- Develop proficiency in FactSet products and data and contribute to AI strategy
Requirements
What you’ll need- Bachelor’s degree in computer science or relevant
- 8-10+ years of experience developing, testing, and deploying high-quality, stable software
- Hands-on experience building and deploying applications using LLMs and agentic technologies, including prompt engineering, RAG, function/tool calling, agent orchestration frameworks, and MCP or similar protocols
- Familiarity with AI coding assistants such as Claude Code
- Strong grasp of the modern AI-driven development lifecycle, including planning, implementation, review, testing, and deployment with AI agents
- Strong software architecture and design skills
- Experience designing evaluation approaches for non-deterministic systems
- Demonstrated ability to give and receive code review feedback
- Proven ability to mentor and coach engineers on AI coding assistants
- Ability to establish AI development standards and guardrails
- Ability to articulate FactSet’s business, client base, and broader business context
- Experience with financial data, analytics, or investment workflows
- Familiarity with cloud platforms, containerization, and modern MLOps/LLMOps practices
- Experience with model evaluation, fine-tuning, or latency and cost optimization
- Experience building custom tooling for AI-assisted development
- Contributions to AI developer tooling, internal platforms, or open-source projects
- Excellent communication skills
- Track record of mentoring engineers and raising team standards
Benefits
Comp & perks- Health, life, and disability insurance
- Retirement savings plans
- Discounted employee stock purchase program
- Paid time off for holidays
- Family leave
- Flexible “moments that matter” days
- Flexible work accommodations
- Volunteerism and sustainability community
- Career progression planning
- Dedicated time each month for learning and development
- Business Resource Groups open to all employees