We are seeking an AI Software Engineer to join our AI program, building scalable, enterprise AI solutions that connect internal systems with LLM-driven workflows.
This is a high-ownership, high-velocity role. You will be expected to move quickly from requirements to production-ready code while leveraging AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate output. You will build fullstack applications, including frontend interfaces, backend services, APIs, and integrations that power AI-driven applications, including agent-based systems and intelligent workflows.
We are looking for someone who:
- Rapidly translates requirements into working code with minimal guidance
- Actively uses AI tools to increase speed and effectiveness
- Has a strong bias toward action—build, test, iterate
- Takes full ownership of problems and drives them to resolution
- Thrives in ambiguity and figures things out independently
- Demonstrates a passion for building (projects, experimentation, etc.)
Key Responsibilities
- Build and maintain frontend applications, backend services, and APIs using Python, Java, and modern frontend frameworks
- Develop AI-powered workflows, including agent-based systems and integrations
- Use AI-assisted tools to accelerate development and iteration
- Translate requirements into scalable, working solutions
- Integrate with enterprise systems via APIs and event-driven patterns
- Write clean, testable, production-quality code
- Contribute to CI/CD and automated validation
- Debug and improve system performance and reliability
- Collaborate with the team while owning and delivering your work
Qualifications
- Bachelor’s degree in Computer Science, Computer Information Systems, Business Information Systems, or related field
- Strong Python and Java fundamentals
- Experience building APIs or backend services
- Understanding of APIs, JSON, and system integrations
- Interest in AI/LLMs and modern development practices
- Experience with or interest in AI IDEs (Cursor, Claude Code)
- Familiarity with Git and Agile development
Nice to Have:
- Exposure to LLMs, agents, or prompt engineering
- Docker, Azure, or cloud experience
- Basic knowledge of distributed or event-driven systems
- Experience with testing frameworks (pytest, Playwright)
- Experience with databases (Postgres, Redis)
What Success Looks Like
- You deliver working solutions quickly and iterate fast
- You use AI tools to meaningfully increase output
- You take ownership and drive problems to completion
- You proactively improve systems, code, and workflows
Why Join
- Build real, production AI systems
- Work with modern AI architectures and tools
- Operate in a fast-paced, high-impact environment
- Develop skills that compound quickly in AI engineering