AI Developer with Python

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

We are seeking an experienced AI Developer with strong expertise in Python programming, Generative AI, Large Language Models (LLMs), and backend development. The ideal candidate will be responsible for designing, developing, and deploying AI-powered applications using modern GenAI frameworks, RAG architectures, and AI agent technologies. Candidates should have hands‑on experience building scalable, production‑ready AI solutions and integrating LLMs with enterprise systems.

Key Responsibilities:

• Design, develop, and maintain AI-powered applications, data pipelines, and microservices using Python.
• Build and implement Generative AI solutions using Large Language Models (LLMs).
• Develop Retrieval-Augmented Generation (RAG) pipelines and AI agent workflows.
• Implement AI agents using frameworks such as LangChain, LangGraph, and CrewAI.
• Integrate LLMs with vector databases, enterprise data sources, and external REST APIs.
• Perform prompt engineering and optimize LLM responses for accuracy and performance.
• Develop backend services and APIs using FastAPI, Flask, or Django.
• Deploy and manage AI applications using Docker and cloud platforms such as AWS, Azure, or GCP.
• Optimize application performance, scalability, reliability, and resource utilization.
• Collaborate with cross-functional teams to deliver enterprise‑grade AI solutions.
• Follow software engineering best practices, including testing, version control, and documentation.
• Experience developing autonomous AI agents and multi‑agent systems.
• Knowledge of machine learning and deep learning concepts.
• Experience with model deployment, monitoring, and optimisation.
• Familiarity with Kubernetes and cloud‑native application deployment.
• Experience building enterprise‑level AI solutions and scalable architectures.
• Strong analytical, problem‑solving, and communication skills.

Required Skills:

• 6+ years of overall software development experience with strong Python programming skills.
• 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 AI frameworks.
• Knowledge of vector databases such as Pinecone, ChromaDB, FAISS, or Weaviate.
• Experience working with OpenAI APIs, Azure OpenAI, or other LLM providers.
• Strong knowledge of backend frameworks such as FastAPI, Flask, or Django.
• Experience developing and integrating RESTful APIs and microservices.
• Familiarity with Docker, Git, CI/CD, and MLOps practices.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.

Preferred Qualifications:

• Experience developing autonomous AI agents and multi‑agent systems.
• Knowledge of machine learning and deep learning concepts.
• Experience with model deployment, monitoring, and optimisation.
• Familiarity with Kubernetes and cloud‑native application deployment.
• Experience building enterprise‑level AI solutions and scalable architectures.
• Strong analytical, problem‑solving, and communication skills.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.