Lead AI Engineer - Agentic Engineering
Blend360 (company site, opens in a new tab)6+ yrsHyderabadRemoteDirect career pageEst. 25–45 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and development of production-grade Agentic AI systems capable of complex, multi-step tasks in production environments.
- Drive adoption and integration of Agentic Engineering practices throughout the software development lifecycle (SDLC) to augment and automate workflows using AI agents.
- Establish engineering standards and evaluation frameworks (Evals) to improve agent performance, developer productivity, and software quality in AI-assisted development.
Minimum Requirements
- 6+ years of software engineering/AI engineering experience with strong hands-on development in production-grade applications.
- Demonstrable experience building production-grade Agentic AI systems, beyond chatbots or basic retrieval-augmented generation (RAG) applications.
- Proficiency in Python, modern backend/API development, and familiarity with LLMs, agent orchestration, tool calling, and RAG techniques.
- Practical experience using AI agents as engineering tools within the SDLC (e.g., Claude Code, Claude Code Skills, PI, Hermes Agent) and deep understanding of Agentic Evaluation frameworks.
Ideal Candidate Profile
- Experienced in architecting and operating multi-agent, agent orchestration, and AI-assisted software engineering workflows across software development lifecycle.
- Strong software engineering leadership with ability to mentor engineers and influence architecture in AI-powered software products.
- Comfortable working with cloud, containers, CI/CD, scalable APIs, and production deployments integrating LLM applications and agentic systems.