LLM Engineer

About the Role

We are looking for a skilled Python + Generative AI Engineer who is passionate about building intelligent systems using LLMs and modern AI frameworks. The ideal candidate will have strong Python development experience combined with hands-on exposure to Generative AI, LLMs, and prompt engineering.

Key Responsibilities

Design, develop, and deploy AI-powered applications using Python and Generative AI frameworks.

Integrate and fine-tune Large Language Models (LLMs) such as OpenAI GPT, Claude, Gemini, or Llama.

Build scalable backend systems and APIs for AI-driven solutions.

Work on prompt engineering, model inference, and pipeline optimization.

Collaborate with cross-functional teams to deliver AI-enabled product features.

Stay up to date with the latest trends in AI / ML, LLMs, and Generative AI ecosystems.

Required Skills

Strong programming experience in Python (3+ years).

Hands-on experience with Generative AI tools and frameworks (LangChain, LlamaIndex, OpenAI API, Hugging Face, etc.).

Good understanding of Machine Learning, Deep Learning, and Natural Language Processing (NLP).

Experience with vector databases (FAISS, Pinecone, Weaviate, ChromaDB).

Familiarity with REST APIs, FastAPI, or Flask.

Knowledge of cloud platforms (AWS, Azure, GCP) for deploying AI models.

Good to Have

Experience with Retrieval-Augmented Generation (RAG) pipelines.

Exposure to embedding models, semantic search, and document indexing.

Understanding of MLOps or LLMOps practices.

Prior work on chatbots, AI assistants, or agentic workflows.

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.