Software Engineer - AI Engineering
Builds AI infrastructure, frameworks, and agentic systems powering company products. Partners with teams to deploy high-impact AI use cases; requires 2+ years AI/ML experience, LLMs proficiency, and full-stack skills.
About the job
Responsibilities
- 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.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or equivalent.
- 2+ years of experience building and deploying AI/ML-powered features & products.
- Hands-on proficiency working with LLMs and agentic architectures.
- Strong software engineering fundamentals and a bias toward shipping production-quality code quickly.
- Comfort working across the stack, from backend infrastructure to APIs to frontend work.
- A collaborative mindset and genuine enjoyment of customer interaction – both with external customers and internal teams who depend on your work.
- Proven ability to take initiative and context-switch across multiple high-priority projects in a fast-paced environment.
Nice to Have
- 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.
Compensation
Base salary range: $126,000 - $250,000 USD annually, plus equity, comprehensive health/dental/vision insurance, 401k with employer match, learning/wellness stipends, and paid time off.
Skills
LLMs, AI/ML, Agentic Architectures, APIs, Kubernetes, Python, Machine Learning, Generative AI, Data Pipelines, Model Evaluation
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