Agentic AI Engineer

Elektrobit Automotive · Bangalore

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Last observed by our collector: 8 October 2026 at 11:22 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 1174

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Collected role description

Overview We are looking for a Senior Expert – Agentic AI Development with 10+ years of software engineering experience and strong expertise in Generative AI and Agentic AI solutions . The role focuses on designing, developing, and deploying enterprise-grade AI agents, multi-agent systems, and AI-powered workflow automation solutions that deliver measurable business value. Experience - 10years Openings - 1 Responsibilities Agentic AI Development Design and develop AI agents and multi-agent systems for enterprise use cases. Build AI assistants, copilots, and workflow automation solutions. Implement agent orchestration, planning, memory, reasoning, and tool integration capabilities. Develop reusable agent frameworks, skills, and components. GenAI & LLM Engineering Design and implement RAG-based solutions using enterprise knowledge sources. Integrate and optimize LLMs for business applications. Perform prompt engineering, evaluation, and performance optimization. Enterprise Integration & Deployment Integrate AI agents with enterprise applications, APIs, databases, and cloud platforms. Collaborate with MLOps teams for deployment, monitoring, and scaling of AI solutions. Ensure security, governance, and responsible AI practices. Technical Leadership Mentor engineers and share best practices in Agentic AI development. Support architecture reviews, technology evaluations, and innovation initiatives. Contribute to AI standards, frameworks, and reusable assets. Candidate Profile Experience 10+ years of software engineering experience. 3+ years of hands-on experience in Generative AI/LLM-based applications. Proven experience delivering AI solutions in production environments. Technical Skills Agentic AI frameworks: LangGraph, LangChain, CrewAI, AutoGen, OpenAI Agents SDK. LLMs, Prompt Engineering, RAG architectures, and Vector Databases. Strong Python programming and API development skills. Cloud platforms (Azure, AWS, or GCP). Docker, Kubernetes, CI/CD, and AI deployment practices. Understanding of AI governance, security, and observability. Success Measures Successful deployment of AI agents into production. Improved automation and productivity through AI solutions. High-quality, scalable, and secure AI implementations. Adoption and business impact of delivered Agentic AI solutions Sravani, Konanki extern.Konanki.Sravani@elektrobit.com

Collected experience requirement

10+ years