Fullstack Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Sunnyvale (CA); On-site; USD 60,000 - 100,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a highly skilled Fullstack Engineer in Sunnyvale, CA. In this role, you'll design and develop full-stack web applications and implement AI-powered solutions using LangChain and LangGraph.

The ideal candidate has strong experience with React and Python, along with hands-on expertise in AI application development. Join us in creating scalable, production-grade solutions while ensuring code quality through best practices.

Qualifications

• Strong experience in React and Python is essential.
• Hands-on experience with AI application development using LangChain and LangGraph.
• Knowledge of full-stack architecture and REST APIs is required.

Responsibilities

• Design and maintain full-stack web applications using React and Python.
• Build secure APIs and backend services.
• Implement AI agents using LangChain and LangGraph.

Skills

React (modern hooks, component design, state management)

Python (FastAPI / Flask / Django)

LangChain for LLM application development

LangGraph for building and orchestrating AI agents

Integrating LLM APIs (OpenAI, Anthropic, etc.)

RAG architectures, embeddings, and vector databases

Git and collaborative development workflows

Job description

Job Overview

Job Description

• Job ID: J52374
• Job Title: Fullstack Engineer
• Location: Sunnyvale, CA
• Duration: 12 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H-4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Job Summary

We are looking for a highly skilled Full-Stack Engineer who can build and maintain production-grade web applications while also designing and implementing AI-powered agents using LangChain and LangGraph.

Responsibilities

• Design, develop, and maintain full-stack web applications using React (frontend) and Python (backend)
• Build scalable, secure, and production-ready APIs and backend services
• Implement AI agents and intelligent workflows using LangChain and LangGraph
• Integrate LLMs into applications, including tool-calling, memory, and multi-step reasoning
• Design and implement RAG-based solutions using embeddings and vector databases
• Orchestrate agent state, control flow, and execution using LangGraph
• Ensure code quality through testing, code reviews, and best engineering practices

Required Skills

• Strong experience in React (modern hooks, component design, state management) and Python (FastAPI / Flask / Django)
• Solid understanding of full-stack architecture, REST APIs, and backend development
• Hands-on experience with LangChain for LLM application development
• Hands-on experience with LangGraph for building and orchestrating AI agents
• Experience integrating LLM APIs (OpenAI, Anthropic, etc.)
• Knowledge of RAG architectures, embeddings, and vector databases
• Proficiency with Git, version control, and collaborative development workflows

Equal Opportunity Employer

Machine Learning Technologies LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Machine Learning Technologies LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Machine Learning Technologies LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.