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
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Design and develop AI agents and multi-agent systems for enterprise use cases.
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Build AI assistants, copilots, and workflow automation solutions.
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Implement agent orchestration, planning, memory, reasoning, and tool integration capabilities.
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Develop reusable agent frameworks, skills, and components.
GenAI & LLM Engineering
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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
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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
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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
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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
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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
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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
