RAG Engineer

We&aposre Hiring: RAG Engineer / LLM Applications Developer (Remote | Freelance)

We&aposre looking for an experienced RAG Engineer or LLM Applications Developer who’s passionate about building intelligent systems that combine retrieval and generation. If you&aposve been working with tools like LangChain, HuggingFace, or OpenAI APIs and understand how to turn LLMs into production-grade applications—this is for you.

What you’ll work on:

• Building intelligent apps using Python and transformer models (GPT, Claude, LLaMA)
• Designing semantic search pipelines and hybrid retrieval systems
• Working with vector databases (Pinecone, Weaviate, Chroma, FAISS)
• Integrating LangChain, LlamaIndex, Streamlit, or similar tools into scalable solutions
• Fine-tuning prompts and optimizing RAG workflows

Must-haves:

• 3+ years working with at least 2 of the following: LangChain, LlamaIndex, HuggingFace, OpenAI API, Streamlit
• Strong grasp of prompt engineering, embeddings, TF-IDF, and similarity metrics
• Python programming skills and experience working with LLMs

Nice to have:

• Experience in indexing and chunking document embeddings
• Building modular RAG pipelines
• Optimizing context windows, latency, and cost
• Observability (e.g., Arize Phoenix), chatbot UX, or domain-specific implementations (finance, healthcare)

Work Setup:

• Freelance / contract
• 100% remote
• Flexible timezone collaboration

If you’re ready to take your GenAI engineering skills to the next level, send us your CV and let’s connect!