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Quantum Technologies LLC Logo
AI/ML Engineer

Quantum Technologies LLC

 

San Diego, CA, USA

Posted On: Just posted
Experience: 5+ years
Availability: Onsite
Openings: 1
Category: AI/ML Engineer
Tenure: No Preference/Any
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Description

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:

  • 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

Education

Any Graduate

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