AI Engineer

Jacobs Engineering Group Inc.
Atlanta, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Atlanta, United States of America

Tech stack

JavaScript
Geographic Information Systems
API
Artificial Intelligence
Amazon Web Services (AWS)
Software Applications
Azure
Cloud Computing
Code Review
Databases
Data Infrastructure
Cursor (Graphical User Interface Elements)
Github
Python
Power BI
Standard Sql
Software Engineering
Systems Integration
Toolchain
TypeScript
Google Cloud Platform
Application Enhancement Tool
GitHub Copilot
React
Retrieval-Augmented Generation
Flask
Large Language Models
Software Application Programming
Backend
FastAPI
Build Management
Microsoft Fabric
Containerization
Data Lake
AI Platforms
Information Technology
Front End Software Development
Virtual Agents
Api Design
REST
Software Version Control
Docker

Job description

  • Design, develop, and deploy AI-powered applications and tools using Python, TypeScript/JavaScript, and modern AI frameworks (LangChain, LangGraph, CrewAI, PydanticAI 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, GitHub 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
  • Contribute to full-stack solutions builds including front-end interfaces (React, HTML/CSS/JS), back-end APIs, and cloud-hosted AI services
  • Evaluate, integrate, and maintain AI platforms, APIs, and toolchains 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

Requirements

We're looking for a junior-level AI developer with a solid software engineering foundation and a drive to build and deploy AI-powered applications that support solutions across the business for both government and private-sector clients. The ideal candidate is a developer who's eager to build, iterate, and ship AI-powered tools and applications, and who wants to grow into a leading voice on our AI Engineering team. They should be comfortable using AI coding assistants (Claude, OpenAI Codex, Cursor), familiar with agentic AI frameworks and orchestration patterns, and ready to build depth working across the full stack. In addition, the ideal candidate will possess a degree in computer science, AI, data science, engineering, or similar domain areas., * 1-3 years of experience in software development

  • Bachelor's degree in computer science, software engineering, AI, data science, or similar domain
  • Demonstrated proficiency building applications with AI/LLM APIs and frameworks

o Anthropic Claude API, OpenAI API, LangChain/LangGraph, Model Context Protocol (MCP), or similar

  • Strong proficiency in Python and JavaScript/TypeScript; working knowledge of SQL
  • Experience version control (GitHub), and CI/CD pipelines.
  • Familiarity with containerization (Docker or Podman),
  • Proven ability to use AI-assisted coding tools (Claude, Codex, Cursor, GitHub Copilot) to accelerate development workflows
  • Ability to travel, as necessary, to meet project and client requirements

Preferred

  • Experience in the AEC industry
  • 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, chunking strategies, embedding models, vector stores (Pinecone, Weaviate, pgvector, etc.), and retrieval optimization
  • Technical proficiency with cloud platforms and data infrastructure such as Microsoft Azure, Microsoft Fabric, Google Cloud, Amazon Web Services, Power BI, GIS, and database technologies (data lakes, vector databases, etc.)

About the company

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.

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