Senior Software Engineer (AI/ML)

Join our team as a Senior Software Engineer (AI/ML) and be a key player in building the next generation of AI-powered applications. In this full-stack role, you will design and ship production-grade systems that deliver real user value. You will work at the intersection of AI, product, and full-stack engineering, taking ambiguous ideas and turning them into scalable, user-facing experiences. Your responsibilities will include owning problems end-to-end, building real AI products, developing agentic systems, designing AI-native user experiences, driving quality and performance, and working across the stack. This is a fully remote position with unlimited PTO and a supportive work environment.

• Design and ship production-grade, agentic systems that deliver real user value, taking loosely defined ideas and turning them into shipped, production features.
• Build multi-step workflows with reasoning, tool use, and structured outputs, and design systems that balance autonomy, control, and reliability.
• Integrate and compose tools (“skills”) such as APIs, retrieval systems, and external actions, and design product features that leverage these capabilities effectively within agent workflows.
• Strong software engineering fundamentals (system design, data structures, clean code)
• Ability to operate in ambiguous, fast-moving environments
• Experience working with APIs or tool integrations within AI systems
• Proficiency in Python, TypeScript, C#, and comfort working across a polyglot stack, picking up new languages and frameworks as needed
• Experience building AI-powered applications in production
• Degree in Computer Science, Engineering, or equivalent practical experience
• Hands-on experience with agentic or multi-step AI systems
• Proven track record of building and shipping production systems
• Experience building end-to-end agentic applications
• Experience with:
• RAG systems and vector databases
• Agent frameworks (LangGraph, LangChain, etc.)
• Evaluation / observability systems
• GCP (Cloud Run) or AWS (ECS, Lambda)
• Experience with cloud infrastructure:
• Experience designing AI-native UX
• Experience with mobile app development (iOS, Android, React Native, Flutter), especially AI-powered experiences
• Experience in regulated domains (FinTech, LegalTech, etc.)