$ cat jobs/ai-engineering-lead-agentic-engineering-blend360-807b5947e797.json
AI Engineering Lead - Agentic Engineering
Blend360 is an AI-first consulting and technology company helping organizations transform their businesses through data, AI, technology, and advanced analytics. Our teams build production-grade solutions that solve complex business problems and create measurable client impact. 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. What You'll Do Agentic Engineering & AI-Augmented SDLC Drive the adoption of Agentic Engineering practices across the software development lifecycle , using AI agents to augment and automate engineering workflows. Leverage tools and approaches such as Claude Code, Claude Code Skills, PI, Hermes Agent , and comparable AI coding/engineering agents as part of day-to-day software development. Build AI-assisted workflows covering requirements analysis, code generation, code understanding, refactoring, testing, debugging, documentation, code review, and deployment . Design agent workflows capable of understanding large codebases, managing context, using tools, executing multi-step engineering tasks, and recovering from failures. Establish best practices around context management, context engineering
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