AI/ML Engineer

Ethereum Technologies; San Diego (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Ethereum Technologies is seeking a hands-on Senior AI Engineer in San Diego to design, build, test, and deploy enterprise-grade AI apps from concept to production-ready software.

You will work with Generative AI, LLMs, RAG, and AI agents, using LangChain and related frameworks while implementing scalable APIs and cloud-native solutions. Harness CI/CD and secure, observable production environments are essential.

Qualifications

• Hands-on experience with AI frameworks and LLMs in production.
• Strong understanding of RAG, agentic AI and prompt engineering.
• Experience with major model platforms (OpenAI, Azure OpenAI, Anthropic, etc.).
• Experience with SQL/NoSQL and vector databases.
• Strong API and microservices design with Docker/Kubernetes knowledge.
• Hands-on Harness CI/CD and pipeline-as-code experience.
• Experience with Harness Skills and AI-assisted software delivery preferred.

Responsibilities

• Architect and build end-to-end AI-powered applications (UI, backend, APIs).
• Develop solutions using LLMs, embeddings and vector search.
• Create agentic workflows integrating enterprise apps and data sources.
• Develop scalable APIs and cloud-native services.
• Implement automated unit/integration/AI application tests.
• Leverage AI coding tools to accelerate engineering.
• Maintain CI pipelines and production services with Harness.
• Collaborate with platform teams to ensure security and observability.

Skills

LangChain/LLM frameworks

Prompt engineering

RAG/agentic AI

Model integration

Cloud model platforms

API/microservices

CI/CD pipelines

Tools

Harness

Docker

Kubernetes

CI/CD tooling

Vector databases

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

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.