AI / LLM Application Engineer
Build practical applications on top of large language models: search, document understanding, assistants and workflow automation for real clients.
What you will own
- Prompt design, retrieval pipelines and evaluation of model output
- APIs and services that wrap model calls safely
- Cost, latency and reliability tuning
- Guardrails and testing so that outputs can be trusted in a business setting
What we are looking for
- Two or more years of software engineering, ideally Python
- Hands on work with LLM APIs and vector search
- Sensible attitude to data privacy and failure modes
- Curiosity and the discipline to measure whether something actually works
Skills we're looking for
Quick answers
- Where is the AI / LLM Application Engineer role based?
- It is based in Pune, India.
- Is the AI / LLM Application Engineer role remote?
- No. This is an on-site role, worked from the office.
- What does the AI / LLM Application Engineer role pay?
- Pay is ₹12–24 LPA. This is a paid job at Moonfire.
- How much experience does the AI / LLM Application Engineer role need?
- Moonfire is looking for 2 to 5 years of relevant experience.
- What skills does the AI / LLM Application Engineer role require?
- Python, LLM APIs, Prompt Engineering, RAG, Vector Databases, REST APIs, Evaluation.
- How do I apply for the AI / LLM Application Engineer role?
- Select Apply now on this page, upload your resume and submit the short form. Moonfire never charges candidates any fee for a job, interview or offer. Apply only through this website.