AI Product Engineer

About the role

This senior-level role involves leading the architecture and evolution of AI-powered systems that transform probabilistic model outputs into reliable, production-grade product capabilities. Key responsibilities include designing and shipping systems around agents, retrieval pipelines, orchestration layers, and evaluation frameworks, while defining architectural standards.

Responsibilities

• Architect & Ship AI-Native Systems
• Lead the architecture and delivery of end-to-end 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 that AI systems interact with, ensuring reliability, idempotency, authentication safety, and rate limiting.
• Engineer Reliability at Scale
• Create 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 for AI systems, including structured logging, telemetry, tracing, and performance monitoring.
• Productionize experimental AI capabilities into scalable, secure services.
• Set Direction & Elevate the Organization
• Decompose high-level business outcomes into executable technical systems.

Requirements

You must have 5+ years of software engineering experience and 2-3+ years of AI development experience. Additionally, you should have experience with Event-Driven & Asynchronous Systems, State Management Strategy, Structured Data Enforcement, API Design & Integration, and relevant tech stack and hard skills.

Qualifications

Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience.

Skills

• Languages: Python, including asyncio, decorators, and the modern Python ecosystem.
• TypeScript / Node for integration and application-layer logic.
• AI Stack: Orchestration frameworks such as LangChain, LangGraph, or custom agent loops.
• Retrieval-Augmented Generation (RAG) systems.
• Hybrid search, re-ranking, and chunking strategies.
• Vector databases such as Pinecone, pgvector, or Weaviate.
• Database & Infrastructure: Advanced SQL skills including query optimization and indexing strategies.
• Containerization using Docker, Kubernetes or similar orchestration platforms.

Benefits

At Employ, you will enjoy remote-first culture, unlimited PTO, comprehensive benefits, learning & development programs, and a commitment to equal opportunity employment. We also provide a Candidate Safety Notice and Recruitment Fraud Notice to protect you from fraudulent activities.

Pay

TBD

Schedule

TBD