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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in backend engineering and data engineering, with a strong focus on building production systems that integrate LLMs and APIs. Proficient in Python and Typescript, with a solid understanding of cloud infrastructure and distributed systems.
Highest-signal resume keywords
Backend EngineeringLLM IntegrationProduction Systems DevelopmentCloud InfrastructurePrompt Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend EngineeringData EngineeringProduction SystemsAPIsPythonTypescriptLLMsAgent SystemsPrompt DesignTool-Based Architectures
Soft Skills
CuriosityCollaborationAdaptability
Tools & Technologies
Cloud InfrastructureDistributed SystemsInternal PlatformsDeveloper Tooling
Industry Keywords
InsuranceFintechB2B SaaSAI ArchitecturesOpen-Source Contributions
Tech Stack
Tools & technologiesCloudDistributed SystemsPythonTypeScript
About the role
Key responsibilities & impact- Design and implement agent workflows and orchestration systems for AI-powered product features
- Build backend services that integrate LLMs with structured insurance data and platform APIs
- Develop infrastructure for tooling, context management, and agent execution
- Contribute to internal frameworks supporting prompt iteration, evaluation, and observability
- Partner with product and design to translate underwriting workflows into AI-enabled product experiences
- Help define architectural patterns for building reliable AI-native features in production
- Work across backend systems, data infrastructure, and product integrations to ship user-facing capabilities
- Build core infrastructure powering Federato’s platform and shape how AI systems interact with underwriting workflows
Requirements
What you’ll need- 10+ years of experience in backend engineering, data engineering, or related roles
- Strong experience building production backend systems and APIs
- Professional experience working with LLMs, agent systems, or generative AI applications
- Hands-on experience with prompt design, tool-based agent architectures, or LLM workflows
- Proficiency in Python or similar backend languages
- Experience working with cloud infrastructure and distributed systems
- Comfort working across layers of the stack, from infrastructure to product integration
- Strong curiosity about emerging AI architectures and agent patterns
- Comfortable navigating ambiguity and working in a fast-paced, collaborative environment
- Experience building production systems involving LLMs, agents, or prompt pipelines
- Experience designing internal platforms or developer tooling
- Familiarity with insurance, fintech, or B2B SaaS
- Contributions to open-source AI or data infrastructure projects
- Experience with Typescript
Benefits
Comp & perks- Stock options
- Benefits
- Additional perks
- Reasonable accommodation for individuals with disabilities
- Equal-opportunity workplace
