Senior AI Agentic Developer

Job Summary

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.

Responsibilities

• 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

• LangGraph
• LangChain
• CrewAI
• AutoGen
• OpenAI Agents SDK
• Python programming
• API development
• Azure
• AWS

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.

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