AI/ML Engineer

Machine Learning Technologies, LLC; San Diego (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Machine Learning Technologies, LLC in the United States is seeking a hands-on Senior AI Engineer who can design, build, test, and deliver enterprise-grade AI applications from concept to deployment-ready software. The role combines full-stack engineering with practical expertise in Generative AI, LLMs, RAG and AI agents, and requires hands-on experience with Harness and modern CI/CD practices.

You will architect end-to-end AI-powered apps, develop scalable APIs and microservices, and ensure

Qualifications

• Hands-on experience with AI frameworks and end-to-end AI application development.
• Strong understanding of LLMs, RAG, agentic AI and model integration.
• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini or AWS Bedrock.
• Proficiency with SQL/NoSQL and vector databases.
• API, microservices, Docker and Kubernetes knowledge.

Responsibilities

• Architect and build end-to-end AI-powered applications (UI, backend, APIs, data, AI layers).
• Develop solutions using LLMs, Generative AI, RAG and AI agents.
• Build agentic workflows integrating enterprise apps, APIs, tools, and data sources.
• Develop scalable APIs, microservices, and cloud-native apps.
• Implement automated unit, integration and AI testing.
• Use AI coding tools to accelerate engineering.
• Maintain CI pipelines and services using Harness.
• Collaborate with platform engineering for security and production readiness.

Skills

Generative AI

LLMs

Agentic AI

Prompts engineering

Model integration

API design

CI/CD pipelines

Security & observability

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

OpenAI

Azure OpenAI

Anthropic

Gemini

AWS Bedrock

SQL

NoSQL

Vector DB

Docker

Kubernetes

Harness

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.