Software Engineer (AI Engineering)
Posted Updated
- We are looking for an AI engineer to join a small, high-impact team building the AI capabilities, agent frameworks, and app platform that power every Applied product and the workflows our own engineers rely on daily
- This is a 0 to 1 role with real customer demand already behind it and the potential to scale into a major new business line. You’ll operate like a startup within a larger, well-resourced company – with the freedom to experiment, ship fast, and work directly with customers
- Design and ship the shared AI infrastructure, frameworks, and tooling that power AI capabilities across Applied’s products and toolings
- Partner with product teams to identify the highest-leverage AI use cases and take them from idea to production
- Serve as a GenAI/LLM expert across the company – owning best practices for architecture, safety, evaluation, and deployment
- Design, build, and ship agentic systems such as background coding agents, AI SRE tooling
- Work directly with customers to understand their needs, demo capabilities, and shape the product roadmap. Both external customers and internal teams are your customers
- A Bachelor’s degree in Computer Science, Software Engineering, or equivalent
- Strong software engineering fundamentals and a bias toward shipping production-quality code quickly
- A collaborative mindset and genuine enjoyment of customer interaction – both with external customers and internal teams who depend on your work
- Hands-on proficiency working with LLMs and agentic architectures
- Proven ability to take initiative and context-switch across multiple high-priority projects in a fast-paced environment
- 2+ years of experience building and deploying AI/ML-powered features & products
- Comfort working across the stack, from backend infrastructure to APIs to frontend work
- Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
- Practical ML literacy – you understand model evaluation, data pipelines, and the tradeoffs between approaches
- Background in developer tooling, platform engineering, or internal productivity infrastructure
- Experience working with autonomous vehicle systems or simulation software