AI Developer – Agentic AI

Location: San Jose, CA – Onsite
Duration: 6–12 Months Contract
Experience: 14+ Years Overall IT Experience
Final Interview: Onsite in San Jose, CA

Job Summary

We are seeking a highly experienced AI Developer with 14+ years of overall IT/software development experience and strong hands-on expertise in Python, Agentic AI, LangChain, and LangGraph. The ideal candidate will have extensive experience designing and developing AI agent-based systems, agentic workflows, and scalable AI/ML solutions using modern agent orchestration frameworks.

The candidate should be comfortable working in a 100% onsite environment in San Jose, CA and must be available for an onsite final interview.

Required Skills & Experience

• 12+ years of overall IT/software development experience.
• Expert-level proficiency in Python.
• Strong hands-on experience with LangChain and LangGraph.
• Extensive experience developing Agentic AI / AI Agent systems.
• Hands-on experience with LlamaIndex, CrewAI, and AutoGen.
• Strong understanding of AI/ML concepts, algorithms, models, and frameworks.
• Experience with AI agent orchestration and multi-agent architectures.
• Experience integrating AI solutions with AWS, Azure, or Google Cloud Platform.
• Strong software development experience including:
  • Development
  • Unit/integration testing
  • Debugging and troubleshooting
  • Code reviews
  • Performance optimization
• Experience designing scalable and production-ready AI applications.
• Strong understanding of APIs, microservices, and cloud-based application integration.
• Good communication and collaboration skills.

Key Responsibilities

• Design and develop scalable AI agent-based applications and systems.
• Build sophisticated Agentic AI workflows using LangChain, LangGraph, and related frameworks.
• Develop and integrate autonomous AI agents for complex business use cases.
• Implement multi-agent workflows and agent orchestration.
• Integrate AI agents with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Work with LlamaIndex, CrewAI, AutoGen, and other emerging AI agent frameworks.
• Optimize agent performance, reliability, scalability, and functionality.
• Develop, test, debug, and maintain high-quality production code.
• Participate in architecture discussions, technical design, and code reviews.
• Collaborate with engineering, product, data, and other cross-functional teams.
• Research and evaluate emerging Generative AI and Agentic AI technologies.
• Translate business requirements into scalable AI-powered solutions.

Preferred Qualifications

• Experience with LLMs, RAG, vector databases, embeddings, and prompt engineering.
• Experience building multi-agent systems.
• Knowledge of MCP (Model Context Protocol) and A2A (Agent2Agent) concepts.
• Experience with REST APIs and cloud-native architectures.
• Experience deploying AI applications into production environments.
• Familiarity with Docker, Kubernetes, CI/CD, and DevOps practices is a plus.