AI/ML Engineer
Robotics Technologies LLC
San Diego, CA, United States
3 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
LangGraph Framework
JavaScript (Programming Language)
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Software Applications
Application Services
Microsoft Azure
Continuous Integration
Cursor
Python (Programming Language)
NoSQL
+28 more
OpenAI
Next.js
Search Technologies
SQL Databases
Systems Integration
TypeScript
YAML
Enterprise Software Applications
Spring Cloud
GitHub Copilot
LangChain
ReactJS
Retrieval-Augmented Generation
Large Language Models
Claude Code
Prompt Engineering
Llamaindex
Generative AI
AI Coding Agents
Backend
Agentic-AI
AngularJS
Front End Software Development
Google Gemini
Restful APIs
Semantic Kernel
Docker
Microservices
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., * 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. *
Requirements
- Strong Python development experience.
- Strong JavaScript/TypeScript and modern frontend experience such as React, Next.js or Angular.
- 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.
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