Overview
Company name: LunarTree | HQ Location: Bangalore, Karnataka | Website | LinkedIn
Role: ML Engineer
- Experience: 2-4 years
- Salary Range: Rs. 30-40 lakhs per annum
- Location: Bangalore
- Type: Full-time
About the Role
We’re looking for a Machine Learning Engineer who’s passionate about pushing the boundaries of what Large Language Models can do. If you’ve spent time building with LLMs—especially around Retrieval-Augmented Generation (RAG), orchestration, and evaluation loops—we want to talk.
You’ll be joining a fast-moving team working at the intersection of research and production, with the freedom to innovate and the responsibility to make it real.
What You’ll Do
- Build and scale LLM pipelines – including RAG architectures, agentic systems, and continuous evaluation loops
- Collaborate with infra and research teams to bring LLM prototypes into production
- Contribute to LLM tuning, fine-tuning strategies, prompt engineering, orchestration, and autonomous agent design
- Evaluate and improve LLM performance through custom benchmarks, user feedback, and real-world usage
- Stay on the frontier of LLM advancements and bring new capabilities into our stack
What We’re Looking For
- 2+ years of experience in ML, with significant work on LLMs or generative AI systems
- Deep understanding of RAG, vector stores, embedding models, and orchestration tools (LangChain, LlamaIndex, etc.)
- Strong Python skills, with experience building and scaling ML systems in production
- Familiarity with LLM tuning (LoRA, PEFT, etc.) and open-source models (LLaMA, Mistral, etc.)
- Bonus: exposure to agent frameworks, evaluation pipelines, or multi-agent architectures