AI Engineer Required for LLMs and AI Tools (12 weeks)

Looking for an AI Engineer who can work hands-on with LLMs and AI coding tools to generate services, tests, and workflows.
This role is about building with AI, not just integrating APIs.
What You’ll Do
Build AI-assisted pipelines for:
Code generation
Test generation
Context extraction
Work with large codebases to create AI-readable context
Generate backend services and APIs using AI tools
Support parity validation and test automation
Contribute to feedback loop (improve outputs via iteration)
Must-Have Experience
Hands-on with LLMs in real projects (not just POCs)
Built something using:
LangChain / LlamaIndex / custom pipelines (or equivalent)
Experience working with:
APIs
backend systems
structured data
AI Tools (Strong Expectation)
You should actively use:
Claude / ChatGPT / Gemini
Cursor / Copilot / AI coding tools
Prompt engineering in real workflows
Debugging and refining AI outputs
Bonus (Very Relevant)
RAG (Retrieval-Augmented Generation)
Codebase indexing / embeddings
Automated test generation
Experience with logs / telemetry for feedback loops
Tech Stack
Python (preferred)
Node.js / Java (good to have)
Vector DBs (Pinecone, Weaviate, etc.)
APIs, JSON, data pipelines
What Stands Out (Real Signals)
You’ve built something end-to-end using AI tools
You rely on AI daily to write or improve code
You’ve worked on real systems, not just notebooks...
No companies to be apply and applicable only for individual freelancers