Senior AI Developer | Python, GenAI & LLMs

Valiant Technologies LLC; Sunnyvale (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Valiant Technologies LLC is seeking an experienced AI Developer to design, build, and deploy production-grade AI applications using Python, Generative AI, and LLMs. The role focuses on end-to-end systems including data pipelines, RAG workflows, and AI agents, with strong emphasis on scalable backend services and cloud deployment.

You will collaborate with cross-functional teams to integrate LLMs with enterprise data sources, optimize prompts, and ensure reliable operation through containers,

Qualifications

• 6+ years of software development with strong Python.
• Hands-on experience with Generative AI, LLMs, NLP, and Prompt Engineering.
• Strong experience implementing RAG architectures and AI-powered applications.
• Experience with LangChain, LangGraph, CrewAI or similar frameworks.
• Knowledge of vector databases and OpenAI/Azure OpenAI APIs.
• Familiarity with Docker, Git, CI/CD and MLOps practices.
• Knowledge of cloud platforms: AWS, Azure, or GCP.

Responsibilities

• Design, develop, and maintain AI-powered apps, data pipelines, and microservices using Python.
• Build and implement Generative AI solutions with LLMs.
• Develop Retrieval-Augmented Generation (RAG) pipelines and AI agent workflows.
• Implement AI agents using LangChain, LangGraph, and CrewAI.
• Integrate LLMs with vector databases, enterprise data sources, and REST APIs.
• Deploy and manage AI apps using Docker and cloud platforms.
• Develop backend services and APIs with FastAPI, Flask, or Django.
• Follow software engineering best practices, including testing, version control, and documentation.

Skills

Python programming

Generative AI

LLMs

RAG architectures

LangChain

Backend frameworks

Docker

Cloud platforms

Kubernetes

Tools

Pinecone

ChromaDB

FAISS

Weaviate

OpenAI APIs

Git

CI/CD

MLOps

Docker

Kubernetes

Job description

Valiant Technologies LLC is seeking an experienced AI Developer to design, build, and deploy production-grade AI applications using Python, Generative AI, and LLMs. The role focuses on end-to-end systems including data pipelines, RAG workflows, and AI agents, with strong emphasis on scalable backend services and cloud deployment.

You will collaborate with cross-functional teams to integrate LLMs with enterprise data sources, optimize prompts, and ensure reliable operation through containers,