Generative AI Engineer

Afficiency is a rapidly growing Insurtech startup whose mission is to provide life insurance to everyone on the platforms they already trust. As a Generative AI Engineer, you will be responsible for designing, developing, and deploying Generative AI solutions that enhance core product platforms and client implementations.

Responsibilities:

• Deliver GenAI solutions end-to-end
• Own technical design and implementation of GenAI applications from discovery through production handoff
• Build APIs/services that integrate with enterprise systems and analytics platforms
• Implement enterprise-grade RAG
• Design ingestion pipelines for internal content (PDFs, policies, research, dashboards, ticketing, wikis)
• Build retrieval systems with hybrid search, filtering, re-ranking, query rewriting, and context optimization
• Implement permission-aware retrieval aligned to entitlements and data access policies
• Establish evaluation and quality controls
• Define metrics for retrieval quality and answer grounding (faithfulness, citation accuracy, coverage)
• Create golden datasets, regression tests, and automated evaluation harnesses
• Operationalize GenAI (LLMOps)
• Instrument observability (latency, cost, token usage, error rates) and implement safe rollout patterns
• Implement caching, rate limiting, fallbacks, and incident-ready operational practices
• Partner across teams to land solutions
• Collaborate with business owners to translate requirements into workable designs
• Work with Security/Compliance to embed guardrails, auditability, and privacy controls
• Provide clear documentation and implementation of playbooks to enable internal teams' post-engagement