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 Bengaluru
🏢 Movate Technologies
📍 Bengaluru
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