AI/ML Engineer

Robotic Process Automation LLC; San Diego (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Robotic Technologies Automation in San Diego, CA seeks a hands-on Senior AI Engineer to design, build, test, and deliver enterprise-grade AI applications from concept to production-ready software. You will combine full-stack engineering with deep expertise in Generative AI, LLMs, RAG, AI agents, embeddings, and vector search.

Responsibilities include building AI-powered applications, scalable APIs and microservices, implementing testing, and deploying with Harness CI/CD.

Qualifications

• Hands-on experience with AI frameworks such as LangChain, LangGraph, LlamaIndex.
• Strong understanding of LLMs, RAG, agentic AI, prompt/context engineering and model integration.
• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, AWS Bedrock or comparable model platforms.

Responsibilities

• Independently architect and build end-to-end AI-powered applications, including UI, backend, APIs, data and AI layers.
• Develop solutions using LLMs, Generative AI, RAG, AI agents, embeddings and vector search.
• Build agentic workflows integrating enterprise applications, APIs, tools and data sources.
• Develop scalable APIs, microservices and cloud-native applications.
• Implement automated unit, integration and AI application testing.
• Use AI coding tools such as GitHub Copilot, Claude Code, Cursor, Codex or equivalent to accelerate engineering.
• Build and maintain CI pipelines and application services using Harness.
• Work closely with platform engineering to ensure applications are secure, observable and production-ready.

Skills

LLMs

RAG

Agentic AI

Prompt engineering

Model integration

API & microservices

CI/CD pipelines

Docker & Kubernetes

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

OpenAI / Azure OpenAI

AWS Bedrock

Harness CI/CD

GitHub Copilot

Job description

We are seeking a highly hands-on Senior AI Engineer who can independently design, build, test, and deliver enterprise-grade AI applications from concept to deployment-ready software. The ideal candidate combines strong full-stack engineering with deep practical expertise in Generative AI, LLMs, RAG, agentic AI, modern AI frameworks, and AI-assisted software development. This role requires strong hands-on experience with Harness and modern CI/CD practices.

Key Responsibilities:

• Independently architect and build end-to-end AI-powered applications, including UI, backend, APIs, data and AI layers.
• Develop solutions using LLMs, Generative AI, RAG, AI agents, embeddings and vector search.
• Build agentic workflows integrating enterprise applications, APIs, tools and data sources.
• Develop scalable APIs, microservices and cloud-native applications.
• Implement automated unit, integration and AI application testing.
• Use AI coding tools such as GitHub Copilot, Claude Code, Cursor, Codex or equivalent to accelerate engineering.
• Build and maintain CI pipelines and application services using Harness.
• Work closely with platform engineering to ensure applications are secure, observable and production-ready.

Required Skills:

• Hands-on experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel or equivalent.
• Strong understanding of LLMs, RAG, agentic AI, prompt/context engineering and model integration.
• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, AWS Bedrock or comparable model platforms.
• Experience with SQL/NoSQL databases and vector databases.
• Strong API, microservices, Docker and Kubernetes knowledge.
• Strong hands-on Harness CI/CD, pipeline-as-code/YAML, services, environments, connectors and pipeline troubleshooting experience.
• Experience with Harness Skills and AI-assisted software delivery strongly preferred.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.