AI Engineer
E4T SAC
contract
Posted on:
Location Type: Remote
Location: United States
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About the role
- Build LLM-powered systems (RAG, agents, copilots, automation tools)
- Design data pipelines for structured and unstructured data (PDFs, APIs, databases)
- Implement retrieval systems (vector DBs, embeddings, semantic search)
- Integrate and evaluate models (OpenAI, Claude, Gemini, open-source)
- Ship APIs and microservices (FastAPI / Flask / Node)
- Implement prompt engineering, evaluation, and guardrails
- Deploy on cloud (AWS / GCP / Azure / IBM)
- Monitor accuracy, latency, cost, and failure modes
- Work directly with stakeholders to turn fuzzy needs into shipped systems
Requirements
- Strong Python (and Typescript/Node)
- Experience with LLMs and modern AI stacks
- RAG systems and vector databases (Pinecone, Weaviate, FAISS, Milvus)
- API development (FastAPI / Flask / Express)
- SQL + intermediate data engineering
- Cloud fundamentals (Docker, CI/CD, basic infra)
Benefits
- Direct access to leadership
- Real ownership of systems
- Exposure to real business problems
- Freedom to choose tools and architectures
- Ability to shape the company’s AI strategy in practice
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonTypescriptNodeLLMsRAG systemsvector databasesAPI developmentSQLdata engineeringcloud fundamentals
Soft Skills
stakeholder communicationproblem-solving