Senior AI Engineer: Build End-to-End GenAI Applications

Valiant Technologies LLC; San Diego (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Valiant Technologies LLC in San Diego seeks a Senior AI Engineer to design, build, and deploy enterprise-grade AI applications from concept to production. You will craft end-to-end AI solutions, integrate LLMs and RAG, and develop scalable cloud-native services with CI/CD pipelines using Harness.

Strong hands-on experience with AI frameworks and modern DevOps practices are essential. Join a hands-on, fast-paced team focused on secure, observable software delivery and AI-assisted development

Qualifications

• Hands-on experience with LangChain/LangGraph/LlamaIndex/Semantic Kernel.
• Strong understanding of LLMs, RAG, agentic AI, prompt engineering and model integration.
• Experience with OpenAI , Azure OpenAI, Anthropic, Gemini, AWS Bedrock or comparable model platforms.

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.

Skills

LLMs

RAG

Agentic AI

Prompt engineering

AI frameworks

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

OpenAI / Azure OpenAI / Gemini / AWS Bedrock

Docker

Kubernetes

Harness CI/CD

Pipeline-as-code / YAML

Job description

Valiant Technologies LLC in San Diego seeks a Senior AI Engineer to design, build, and deploy enterprise-grade AI applications from concept to production. You will craft end-to-end AI solutions, integrate LLMs and RAG, and develop scalable cloud-native services with CI/CD pipelines using Harness.

Strong hands-on experience with AI frameworks and modern DevOps practices are essential. Join a hands-on, fast-paced team focused on secure, observable software delivery and AI-assisted development