LangChain AI/ML Consultant: Generative AI & LLM Ops

Valiant Technologies LLC; Arlington (VA); On-site; USD 90,000 - 128,000; Full time

Job summary

Valiant Technologies LLC seeks an experienced AI/ML consultant in Arlington, VA to develop and deploy enterprise AI solutions using Python, LangChain, and GenAI. You will build LLM-based systems, RAG pipelines, and multi-agent workflows, while integrating with Azure/AWS services.

The role focuses on backend services, REST APIs with FastAPI/Flask, and MLOps, containerized with Docker/Kubernetes, and tool integration via MCP. Equal opportunity employer and merit-based hiring.

Qualifications

• Hands-on AI/ML consultant with Python and LangChain experience.
• Experience building production-grade GenAI apps and LLM pipelines.
• Familiarity with RAG, embeddings, vector databases, and multi-agent flows.

Responsibilities

• Develop and deploy scalable, production-ready Generative AI applications using Python.
• Build LLM-based solutions using LangChain, LlamaIndex, and Hugging Face.
• Implement RAG pipelines, embeddings, and vector database integrations.
• Develop Agentic AI solutions, multi-agent workflows, and tool-calling capabilities.
• Apply Machine Learning, NLP, and Prompt Engineering techniques.
• Build backend services and REST APIs using FastAPI and Flask.
• Integrate AI models using Azure OpenAI, Azure AI Foundry, and AWS Bedrock.
• Implement LLMOps/MLOps practices for AI deployment and monitoring.
• Containerize and deploy applications using Docker and Kubernetes.
• Work with MCP (Model Context Protocol) for AI tool and system integration.

Skills

Python

LangChain

Generative AI

Agentic AI

NLP

Prompt Engineering

REST APIs

MLOps

Tools

FastAPI

Flask

Docker

Kubernetes

Azure OpenAI

Azure AI Foundry

AWS Bedrock

LlamaIndex

Hugging Face

Job description

Valiant Technologies LLC seeks an experienced AI/ML consultant in Arlington, VA to develop and deploy enterprise AI solutions using Python, LangChain, and GenAI. You will build LLM-based systems, RAG pipelines, and multi-agent workflows, while integrating with Azure/AWS services.

The role focuses on backend services, REST APIs with FastAPI/Flask, and MLOps, containerized with Docker/Kubernetes, and tool integration via MCP. Equal opportunity employer and merit-based hiring.