Ai Engineer

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