LangChain – AI/ML Consultant

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

Job summary

Robotics Technologies LLC in Arlington, VA is seeking an experienced AI/ML Consultant to develop and deploy enterprise AI solutions using Python, LangChain, and Generative AI.

You will build LLM-based applications with LangChain, LlamaIndex, and Hugging Face, implement RAG pipelines and agentic workflows, and integrate AI models across Azure OpenAI, AWS Bedrock, and other platforms. Familiarity with Docker, Kubernetes, and MLOps is required.

Qualifications

• Experience delivering production AI/ML solutions in Python.
• Strong hands-on with LangChain and Generative AI.
• Experience with agentic AI, RAG pipelines, and vector databases.

Responsibilities

• Develop and deploy scalable Generative AI applications in production.
• Build LLM-based solutions with LangChain, LlamaIndex and Hugging Face.
• Implement RAG pipelines, embeddings and vector DB integrations.
• Create Agentic AI workflows, multi-agent coordination, and tool calls.
• Apply ML, NLP and prompt engineering techniques to real-world tasks.
• Develop backend services and REST APIs using FastAPI and Flask.
• Integrate AI models with Azure OpenAI, Azure AI Foundry and AWS Bedrock.
• Apply MLOps practices for deployment and monitoring; containerize with Docker/Kubernetes.

Skills

Python

LangChain

Generative AI

Agentic AI

Tools

LlamaIndex

Hugging Face

FastAPI

Flask

Docker

Kubernetes

Azure OpenAI

Azure AI Foundry

AWS Bedrock

MCP

Job description

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

Job Title: LangChain - AI/ML Consultant
Location: Arlington, VA
Duration: 12 Months + Extension
Bill Rate: $79/hour
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description

We are looking for an experienced AI/ML Consultant with strong hands-on expertise in Python, LangChain, Generative AI, and Agentic AI to develop and deploy enterprise AI solutions.

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.

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, color, 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.