Responsibilities

- Build AI agents using LLM APIs per established design patterns

- Write, test, and iterate on prompts within the prompt governance framework

- Integrate agents with backend APIs and tool-calling interfaces

- Support RAG pipeline development: ingestion, embedding, and retrieval

- Write agent evaluation test cases and contribute to the evaluation harness

- Participate in code reviews and prompt review processes

Required Skills

- 1 3 years in AI/ML or software engineering with LLM exposure

- Python proficiency

- Understanding of RAG concepts: chunking, embeddings, vector search

- Hands-on experience with LLM APIs (OpenAI, Anthropic, or equivalent)

- Prompt engineering fundamentals: system prompts, few-shot, structured outputs

- Git-based workflows

Nice to have

- Exposure to LangChain, LlamaIndex, or similar agentic frameworks

- Experience with agent evaluation metrics (RAGAS or equivalent)

- Background in ITSM or IT operations domains

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Engineer ( Junior ) (Bengaluru)
🏢 Movate Technologies
📍 Bengaluru