Role: AI Engineer
Location: Santa Clara, CA (Onsite)
Employment Type: Full-Time
Visa Type: Not Specified
Must-Have Qualifications:
• 5+ years of experience in Artificial Intelligence / Machine Learning engineering.
• 1+ years of hands-on experience building Agentic AI solutions and AI agent-based systems.
• Strong expertise in Python programming and modern software engineering practices.
• Hands-on experience with LangGraph, LangChain, Large Language Models (LLMs), and prompt engineering.
• Experience architecting, designing, and deploying enterprise-grade AI applications.
• Strong understanding of AI platforms such as Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, or similar AI ecosystems.
• Experience designing and developing APIs, event-driven architectures, and cloud-based AI solutions.
• Strong knowledge of CI/CD pipelines, cloud deployments, and AI application operationalization.
• Proven ability to lead technical initiatives, drive solution delivery, and collaborate with engineering teams.
• Experience integrating enterprise data sources with AI applications and workflows.
• Strong understanding of LLM workflows, AI orchestration, multi-agent systems, and AI automation patterns.
• Experience optimizing AI workflows across multiple LLM models including GPT, Claude, Llama, or similar models.
• Ability to guide engineering teams and establish AI development best practices.
• Experience with enterprise AI architecture, scalability, security, and governance.
• Strong communication, stakeholder management, analytical, and problem-solving skills.
Preferred Qualifications:
• Experience with Databricks and enterprise data platforms.
• Knowledge of MLOps / LLMOps practices.
• Experience with AI governance, security, monitoring, and observability.
• Experience using AI-assisted development tools such as Claude Code and Codex.
• Experience designing enterprise AI strategies and architecture frameworks.
Key Responsibilities:
• Lead architecture and solution design for Agentic AI applications and enterprise AI platforms.
• Design, build, and oversee development of AI agents and multi-agent systems using LangGraph and LangChain.
• Develop and optimize AI workflows using multiple Large Language Models.
• Design enterprise integrations, APIs, and event-driven AI services.
• Drive AI application deployment, scalability, reliability, and operational excellence.
• Collaborate with platform, security, data, and product teams to deliver AI solutions.
• Establish AI engineering standards, best practices, and development frameworks.
Required Skills:
Artificial Intelligence, Machine Learning, Agentic AI, Python, LangGraph, LangChain, LLM, Prompt Engineering, GPT, Claude, Llama, Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, APIs, Event-Driven Architecture, CI/CD, Cloud Deployment, AI Architecture, MLOps, LLMOps, Databricks