Engineering Manager — AI Engineering
Innovapptive (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 35–55 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead and own the AI Engineering team responsible for the design, development, deployment, and reliability of product-facing AI agents for industrial operations.
- Manage the end-to-end lifecycle of AI agents including architecture, prompt engineering, evaluation, and production monitoring with strong emphasis on RAG and knowledge infrastructure.
- Accountable for sprint delivery, hiring, performance management, and maintaining agent quality metrics such as evaluation frameworks, hallucination monitoring, and accuracy benchmarks.
Minimum Requirements
- 7+ years software engineering experience with at least 3 years managing teams delivering AI/ML or LLM-powered enterprise production products.
- Hands-on experience with LLM orchestration frameworks (e.g., LangGraph, LangChain) and RAG architecture including document pipelines, embeddings, vector databases.
- Experience with managed inference infrastructure such as AWS Bedrock or SageMaker and AI observability tools (e.g., Langfuse, Ragas).
- Work Experience Required: 7+ years in software engineering with 3+ years in AI team management. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Proven ability to ship AI product features on schedule in SaaS environments beyond prototypes or internal tools.
- Data-driven approach focused on model evaluation scores, AI accuracy, agent success rates, and engineering metrics (DORA).
- Experience managing teams with strong engineering standards around prompt engineering discipline, responsible AI, and production-grade reliability.