Senior Applied AI Engineer — Enterprise AI & MLOps

Hydrogen UK Ltd; San Diego (CA); Hybrid; USD 152,000 - 179,000; Full time

Job summary

Hydrogen UK Ltd is seeking a Senior Applied AI Engineer in San Diego. The role involves designing, building, and deploying enterprise AI solutions leveraging agentic AI, LLMs, and automation. You will shepherd AI projects from proof of concept to production while ensuring security and governance.

Candidates will collaborate with cross-functional teams, lead technical workstreams, and implement MLOps/LLMOps practices, with a hybrid schedule. This 6-month contract offers competitive hourly pay.

Qualifications

• 5+ years software/ML engineering with production deployment experience.
• Strong Python development and software engineering practices (CI/CD, testing, REST APIs).
• Hands-on experience with LLM APIs, agentic AI, and RAG.
• Experience deploying secure AI solutions in cloud platforms (Azure/AWS/GCP).

Responsibilities

• Design, build, and deploy enterprise AI solutions including agentic AI and RAG.
• Develop end-to-end AI pipelines integrating data sources, APIs, and orchestration tools.
• Collaborate with stakeholders to define requirements, metrics, and production readiness.
• Translate prototypes into scalable, maintainable, enterprise-grade applications.
• Lead technical workstreams and mentor team members.

Skills

Python development

LLM APIs

Agentic AI

Workflow orchestration

MLOps / LLMOps

Communication with stakeholders

Mentoring engineers

Cloud platforms (Azure/AWS/GCP)

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Tools

Azure OpenAI

Azure AI Foundry

Copilot Studio

Semantic Kernel

LangChain

LlamaIndex

Vector databases

Job description

Hydrogen UK Ltd is seeking a Senior Applied AI Engineer in San Diego. The role involves designing, building, and deploying enterprise AI solutions leveraging agentic AI, LLMs, and automation. You will shepherd AI projects from proof of concept to production while ensuring security and governance.

Candidates will collaborate with cross-functional teams, lead technical workstreams, and implement MLOps/LLMOps practices, with a hybrid schedule. This 6-month contract offers competitive hourly pay.