AI/ML Engineer
Builds and deploys production AI systems including agentic workflows, RAG pipelines, and LLM integrations for search, personalization, fraud detection, and generative features at a marketplace platform. Requires 2+ years AI/ML production experience, Python proficiency, and agentic framework expertise.
Responsibilities
- Design and build agentic AI systems and RAG pipelines for production features across the marketplace.
- Integrate LLMs into product experiences across search, categorization, communication, and trust & safety.
- Partner with Data Scientists and Engineers to turn research into shipped products.
Requirements
- 2-4 years building and deploying AI/ML systems in production.
- 2+ years professional Python development.
- Hands-on experience with agentic frameworks (LangChain, LangGraph, or similar) including function calling and tool-use design.
- Practical experience building RAG systems (vector search, semantic chunking, rerankers).
- Experience with LLM APIs, prompt engineering, and structured outputs.
- Proficiency with async Python (asyncio, streaming) and Pydantic.
- Strong SQL skills for large-scale data systems.
- Bachelor's in CS, Math, Statistics, or related field (or equivalent experience).
- Collaborative mindset and strong communication skills.
Nice-to-Haves
- LLMOps tooling: evals (Ragas, DeepEval), observability (LangSmith, Arize Phoenix), guardrails (NeMo).
- Cloud deployment of AI services (AWS preferred).
- GraphRAG or knowledge graph integration (Neo4j/FalkorDB).
- ReAct, Plan-and-Solve, or multi-agent collaboration patterns.
Compensation
Range: $140,000 - $160,000 (plus equity and comprehensive benefits including health insurance, 401(k) match, PTO)
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