The RoleWe are seeking a
Software Engineer, AI/ML (Full-Stack) to build the next generation of AI-powered applications. This is a
builder role. You will design and ship
production-grade, agentic systems that deliver real user value - not prototypes or demos.
You will operate at the intersection of
AI, product, and full-stack engineering, taking ambiguous ideas and turning them into scalable, user-facing experiences. From document understanding to multi-step workflows, your work will directly shape how users interact with AI.
What You Will Do:Own problems end-to-end- Take loosely defined ideas and turn them into shipped, production features
- Make architectural decisions across AI systems, backend, and frontend
Build real AI products (not demos)- Design, build, and deploy production-grade systems leveraging LLMs
- Own systems that handle real user traffic, constraints, and failure modes
Develop agentic systems- Build multi-step workflows with reasoning, tool use, and structured outputs
- Design systems that balance autonomy, control, and reliability
Design AI-native user experiences- Build AI-native interfaces (agentic UIs) where users collaborate with AI
- Implement streaming, feedback loops, and iterative workflows
Work with tools / skills (AI capabilities)- Integrate and compose tools ("skills") such as APIs, retrieval systems, and external actions
- Design product features that leverage these capabilities effectively within agent workflows
- Collaborate with AI Infrastructure to improve tool interfaces and behavior
Drive quality and performance- Build evaluation and feedback loops
- Implement guardrails and monitoring
- Optimize for latency, cost, and accuracy
Work across the stack- Backend services, APIs, data pipelines, and frontend experiences
- Ship quickly and iterate based on real usage
Qualifications:- Degree in Computer Science, Engineering, or equivalent practical experience
- Strong software engineering fundamentals (system design, data structures, clean code)
- Proven track record of building and shipping production 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
- Hands-on experience with agentic or multi-step AI systems
- Experience working with APIs or tool integrations within AI systems
- Ability to operate in ambiguous, fast-moving environments
Preferred Qualifications (Bonus Points):- Experience building end-to-end agentic applications
- Experience with:
- RAG systems and vector databases
- Agent frameworks (LangGraph, LangChain, etc.)
- Evaluation / observability systems
- Experience designing AI-native UX
- Experience with cloud infrastructure:
- GCP (Cloud Run) or AWS (ECS, Lambda)
- Experience with mobile app development (iOS, Android, React Native, Flutter), especially AI-powered experiences
- Experience in regulated domains (FinTech, LegalTech, etc.)
Benefits & Perks- Competitive salary.
- Hybrid work arrangement in the New York area
- Excellent medical, dental, and vision insurance options, with low-cost premium structures that demonstrate our commitment to offering great value to our employees.
- 100% company-paid basic life insurance, short-term and long-term disability insurance.
- 100% paid parental leave upon eligibility.
- Company equity managed through Carta.
- 401k with match and 100% vesting upon hire.
- Flexible PTO in an environment where taking time off to relax or recharge is supported and encouraged.
- Take time off for holidays-and yes, your birthday counts too. Celebrate, relax, and recharge without thinking twice.
