AI Engineer

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission‑critical outcomes, operational advancement, scientific discovery and cutting‑edge manufacturing, turning abstract ideas into realities that transform the world for good.

We’re looking for a mid‑level AI developer with strong software engineering skills, deep proficiency in AI‑assisted coding tools, and hands‑on experience building and deploying AI‑powered applications to support AI solutions across the business for both government and private‑sector clients. The ideal candidate will be a skilled software developer who can rapidly build, iterate, and ship AI‑powered tools and applications. They should be highly proficient with AI coding assistants (Claude, OpenAI Codex, Cursor), experienced with agentic AI frameworks and orchestration patterns, and comfortable working across the full stack.

In addition, the ideal candidate will possess a degree in computer science, AI, data science, engineering, or a similar domain, and have previous consulting experience.

The chosen candidate will become a member of the Digital and Data team at Jacobs
, helping drive innovation in technical project work for our clients in collaboration with subject matter experts, technologists, engineers, data scientists, project managers, and more.

Hybrid, 2 days in office at any Jacobs office in the United States. A list of offices can be found here

• Design, develop, and deploy AI‑powered applications and tools using Python, Type Script/JavaScript, and modern AI frameworks (Lang Chain, Lang Graph, CrewAI, or similar).
• Build and configure MCP (Model Context Protocol) servers and integrations to connect AI models with enterprise data sources, APIs, and tooling.
• Develop RAG (Retrieval‑Augmented Generation) pipelines, agentic workflows, and AI‑assisted automation solutions for internal and client‑facing projects.
• Leverage AI‑assisted development tools (Claude, Codex, Cursor, Git Hub Copilot) to accelerate delivery and maintain high code quality.
• Collaborate cross‑functionally with subject matter experts, data engineers, and project managers to translate business requirements into production‑ready AI solutions.
• Architect and implement full‑stack solutions including front‑end interfaces (React, HTML/CSS/JS), back‑end APIs, and cloud‑hosted AI services.
• Evaluate, integrate, and maintain AI platforms, APIs, and tool chains as the technology landscape evolves.
• Contribute to technical presentations, demos, and documentation for both internal teams and external clients.
• Participate in knowledge sharing, code reviews, and mentoring across teams and domains.
• Stay current with rapidly evolving AI tools, models, and best practices; proactively bring new capabilities to the team.

• 3‑5 years of experience in software development, with at least 1‑2 years focused on AI/ML application development.
• Bachelor’s degree in computer science, software engineering, AI, data science, or a similar domain.
• Demonstrated proficiency building applications with AI/LLM APIs and frameworks.
• Anthropic Claude API, OpenAI API, Lang Chain/Lang Graph, Model Context Protocol (MCP), or similar.
• Strong proficiency in Python and JavaScript/Type Script; working knowledge of SQL.
• Experience with containerization (Docker), version control (Git Hub), and CI/CD pipelines.
• Proven ability to use AI‑assisted coding tools (Claude, Codex, Cursor, Git Hub Copilot) to accelerate development workflows.
• Ability to travel as necessary to meet project and client requirements.

• Bachelor’s or Master’s degree in computer science, AI, software engineering, or a similar domain.
• Experience in the AEC industry.
• Experience designing and building agentic AI systems, including multi‑step orchestration, tool use, and human‑in‑the‑loop patterns using frameworks such as Lang Graph, CrewAI, Pydantic
  
  AI, or similar.
• Experience developing and deploying RESTful APIs and backend services using frameworks such as FastAPI, Flask, or Express.
• Hands‑on experience building RAG pipelines, including document ingestion,…