AI Engineer
Role details
Job location
Tech stack
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.)