Experience:

• 4+ years building AI-augmented product capabilities (LLMs, RAG systems, agents, orchestration frameworks)

Responsibilities:

• Lead architecture and delivery of AI-powered systems including agents, RAG pipelines, orchestration layers, and reasoning workflows
• Translate product vision into scalable technical systems
• Define contracts, state management strategies, and guardrails for AI-driven workflows
• Own and evolve API contracts ensuring reliability, idempotency, authentication safety, and rate limiting
• Design schema enforcement and validation layers for AI-generated outputs
• Implement retries, fallback strategies, and failure-mode containment
• Establish evaluation frameworks for benchmarking, regression testing, and drift detection
• Create observability standards including structured logging, telemetry, tracing, and performance monitoring
• Productionize experimental AI capabilities into scalable, secure services
• Establish architectural patterns and standards adopted across teams
• Mentor engineers in AI-native and spec-driven development practices
• Influence engineering culture through clarity, urgency, and execution
• Decompose high-level business outcomes into executable technical systems

Additional responsibilities:

• Operate at a higher level of abstraction beyond accepting AI-generated code by reviewing, restructuring, and integrating it into production-grade systems
• Manage state persistence across sessions, context window efficiency, concurrency, and race conditions for multiple agents interacting with shared data
• Run isolated environments for code execution

More skills:

Python including asyncio and decorators, TypeScript / Node, LangGraph, Custom agent loops, Retrieval-Augmented Generation (RAG) systems, Vector databases (Pinecone, pgvector, Weaviate), Advanced SQL including query optimization and indexing, Docker, Kubernetes, Event-Driven & Asynchronous Systems (Kafka, SQS, BullMQ), Schema validation tools (Pydantic, Zod, JSON Schema), API design (REST, GraphQL, RPC), Authentication, Rate limiting, Idempotent API patterns

Other:

• Employ is a fast-moving, remote-first team with flexible work scheduling and paid time off
• Comprehensive benefits and career development opportunities
• Equal Opportunity employer and EVerify employer
• Candidate safety emphasized with official communication only via @ emails
• No requests for payment or personal financial information during hiring
• Use of AI tools to support hiring process but final decisions made by humans
• Compensation includes base salary, performance bonuses, equity, and benefits with transparency in pay determination