AI/ML Architect / Sr Engineer (Agentic AI & LLM)

Job Title

AI/ML Architect / Sr Engineer (Agentic AI & LLM)(23944-1)

Location

Irvine, CA (remote OK, with possible 1 week – 3 days – travel a month in the first 2-3 months)

Duration

6-12+ Months Contract

Additional Info regarding SO/R

Location onshore; however, remote is OK with possible 3 days of travel to Irvine in a month.

Must Have Skills

Skill 1 – Python Backend Development

Skill 2 – Agent-Based / Agentic AI Development

Skill 3 – LLM-Enabled Application Development

Skill 4 – RAG, Vector Databases, Embeddings & Vector Search

Skill 5 – API Development & System Integration

Skill 6 – AWS Cloud-Native Development

Skill 7 – CI/CD & Environment Management

Skill 8 – Observability

Logging, Monitoring & Tracing

Domain Experience (If any) – AI-enabled enterprise workflows, Agent-based systems, Retrieval-Augmented Generation (RAG) applications

Job Summary

We are looking for a highly skilled senior AI/ML engineer or hands-on architect with strong expertise in building scalable, production-ready AI solutions. The ideal candidate will have hands-on experience in agent-based AI systems, LLM-enabled applications, and cloud-native development, with a focus on enterprise-grade implementations.

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Key Responsibilities

• Design and develop AI/ML pipelines and intelligent applications
• Build and implement agent-based workflows and automation systems
• Develop LLM-enabled applications including prompt engineering and structured outputs
• Implement retrieval-based systems (RAG, vector search, embeddings, indexing)
• Develop and integrate APIs with backend systems
• Deploy and manage applications in cloud environments (AWS preferred)
• Implement CI/CD pipelines and ensure system reliability
• Enable observability through logging, monitoring, and tracing
• Collaborate with cross-functional teams to deliver scalable AI solutions

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Required Skills (Must Have)

• Python backend development
• Agent-based / agent-oriented development
• API development and system integration
• LLM-enabled application development
• Retrieval-based systems (RAG, vector DB, embeddings)
• AWS cloud-native development
• CI/CD and environment management
• Observability (logging, monitoring, tracing)

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Preferred Skills

• Experience with Generative AI and NLP
• Experience deploying ML models in production
• Exposure to enterprise AI workflows and automation

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Domain Experience

• AI-enabled enterprise workflows
• Agent-based systems
• Retrieval-augmented applications

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Experience Required

• Typically 8+ years of experience in AI/ML, Data Science, or Software Engineering