Key Responsibilities

• Build AI agents and multi-agent systems using frameworks such as LangGraph and LangChain
• Develop and tune prompt engineering workflows across multiple LLMs (GPT, Claude, LLaMA), balancing reliability, cost, and latency
• Develop REST APIs, WebSocket services, and event-driven pipelines for real-time AI services that remain stable under load
• Automate testing and releases through Jenkins CI/CD and maintain code and documentation standards using Git, Jira, and Confluence
• Deploy AI applications in an enterprise environment adhering to best practices
• Use AI-augmented development tools such as Claude Code and Codex to accelerate delivery
• Coordinate with platform, security, and product teams to deliver scalable, secure deployments

Requirements

• 3-5 years in Machine Learning, AI, or a related field, with production systems delivered
• At least 1 year building custom Agentic AI applications
• Strong Python skills and sound modern development practices
• Hands-on experience with LLMs and prompt engineering across the full application lifecycle
• Demonstrated experience building AI agents with LangGraph
• Familiarity with at least one enterprise cloud AI platform (Azure AI Foundry, AWS Bedrock, or Google Gemini Enterprise) including cloud-native deployment practices
• Working knowledge of REST APIs, WebSockets, and event-driven systems
• Proficiency with CI/CD tooling (Jenkins) and version control (Git)
• Fluency with AI-augmented development tools for rapid prototyping
• Experience with data layer curation and integration with source systems for agentic applications
• Local candidates only; must be able to work onsite in Santa Clara, CA

Skills Required