Senior Full Stack AI Engineer (LLM / Python / FastAPI)

Work Authorization / Employment Type:

W2 ONLY – This is a W2 contract opportunity. We are unable to work with C2C/third-party agencies or candidates requiring visa sponsorship.

We are seeking a Senior Full Stack AI Engineer to join an innovative engineering team building AI-powered solutions that automate issue triage, system analysis, and root cause analysis (RCA) for manufacturing operations. This is a hands-on development role focused on building and enhancing LLM-powered agents and full-stack applications that help diagnose production issues in real time.

This position is ideal for someone who enjoys building production-ready AI applications and delivering end-to-end features in a fast-paced environment. Approximately 85% of the role is hands-on coding.

Responsibilities

• Design, develop, and enhance LLM-powered AI agents for automated issue triage and root cause analysis.
• Build and deliver full-stack features using Python (FastAPI) and modern JavaScript frameworks.
• Integrate manufacturing and operational data sources into AI workflows to improve diagnostics and recommendations.
• Design prompts, tools, and evaluation methods to improve LLM accuracy and performance.
• Collaborate with software engineers, AI/ML engineers, and cross-functional teams to deliver scalable solutions.
• Develop REST APIs, asynchronous services, and data integration pipelines.
• Write clean, maintainable, and production-quality code while contributing to an existing codebase.

Required Qualifications

• Strong experience with Python and FastAPI, including REST APIs, asynchronous programming, and backend services.
• Full-stack development experience with modern JavaScript frameworks such as React, Vue.js, or similar.
• Experience building LLM-powered applications or AI agents, including prompt engineering, tool integration, structured outputs, and evaluation.
• Experience integrating multiple data sources through APIs and data pipelines.
• Ability to quickly understand and contribute to an existing production codebase.
• Strong software engineering fundamentals with experience delivering production-ready applications.

Preferred Qualifications

• Experience working with large monorepos or build systems such as Bazel.
• Background supporting manufacturing, hardware, production testing, or industrial systems.
• Experience with vector databases, embeddings, retrieval-augmented generation (RAG), log analysis, or ticket analysis.
• Familiarity with Databricks, AWS, GCP, CI/CD pipelines, and observability tools.

Why Join?

• Work on cutting-edge AI and LLM technologies solving real-world engineering challenges.
• Build production AI applications used in mission-critical manufacturing environments.
• Collaborate with experienced software and AI engineers on innovative products.
• Opportunity to make an immediate impact in a fast-paced, engineering-driven environment.