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

Afficiency

Open Positions (2)

Engineering

Generative AI Engineer

Generative AI Engineer