Machine Learning Engineer

As a LLM/Machine Learning Engineer the company expects you to perform the following tasks:

• Build LLM-powered features: retrieval (RAG), prompt/tool orchestration, evaluation harnesses.
• Own data pipelines and model lifecycle (training/fine-tuning/lightweight adapters, monitoring, rollback).
• Collaborate with product/eng to ship secure, reliable AI features (guardrails, PII controls).
• Track latency/cost/quality trade-offs; instrument experiments and A/Bs.

Qualifications

✨You are the person they are looking for if you have:

• 3–5+ yrs in ML/ML-Ops; recent LLM experience (OpenAI/Anthropic, open-source models).
• Python stack (Pydantic/FastAPI), vector DBs (PGVector/FAISS/Weaviate), embeddings & RAG patterns.
• AWS data/serving (S3, Lambda/ECS, Step Functions/SageMaker optional), CI/CD, observability.

They will be more enthusiastic about you if you also have: