Senior AI Engineer: Generative AI & End-to-End Apps

Machine Learning Technologies, LLC

San Diego (CA)

On-site

USD 180,000 - 240,000

Full time

9 hours ago
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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

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

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