Blend360
Lead AI Engineer - Agentic Engineering
Job · Full-timeWork from HomeHyderabad6+ years1 opening
About this role
Blend360 is hiring for Lead AI Engineer - Agentic Engineering in Hyderabad. This opening was published by Blend360 on their official careers board (SmartRecruiters) on 14 August 2026 and was confirmed live on 14 September 2026.
Job details
• Company: Blend360
• Role: Lead AI Engineer - Agentic…
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Skills you'll use
PythonAWSAzureGCPDockerKubernetesCI/CDLLMSystem Design
What you'll do
- We are looking for a Lead AI Engineer to help shape and build the next generation of Agentic AI and AI-powered engineering systems at Blend360.
- This is not a traditional GenAI or chatbot development role. We are looking for an experienced software/AI engineer who understands how to build production-grade agentic systems and, importantly, how to leverage Agentic Engineering as part of the Software Development Lifecycle (SDLC).
- You will work across AI engineering, software architecture, agent orchestration, LLM applications, developer productivity, and AI-assisted software development. You will help establish engineering practices around AI agents, context engineering, tool use, evaluations, autonomous task execution, and AI-augmented development workflows.
- The ideal candidate combines strong software engineering fundamentals with hands-on experience building and operating real-world Agentic AI systems.
Who can apply
- 6+ years of software engineering / AI engineering experience, with strong hands-on development experience.
- Strong software engineering fundamentals with experience building production-grade applications and services.
- Demonstrable experience building production-grade Agentic AI systems, beyond simple chatbots or basic RAG applications.
- Strong understanding of Agentic Evaluation / Agent Evals, including designing evaluation frameworks for autonomous and multi-agent systems.
- Experience creating evaluation datasets, test scenarios, metrics, automated regression tests, and quality gates for agentic applications.
- Ability to evaluate agents beyond final-answer accuracy, including planning, tool use, reasoning trajectory, context handling, reliability, safety, latency, cost, and task completion.
- Strong hands-on experience with Python and modern backend/API development.
- Experience with LLMs, GenAI, agent orchestration, tool calling, and RAG.
- Experience with agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Google ADK, or equivalent.
- Strong understanding of multi-agent architectures, planning, reasoning, context management, tool use, memory, and agent execution.
About Blend360
About Blend360
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with…
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