Product Engineer (AI Agents)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Product Engineer (AI Agents): Build and ship an AI-agent-powered product across agent orchestration, retrieval systems, backend APIs, and React interfaces with an accent on production reliability, scalable architecture, and customer-focused product development. Focus on designing agentic workflows, engineering context and search systems, evaluating LLM behavior, and turning ambiguous experiments into maintainable end-to-end features.
Location: On-site at the office in New York City, United States.
Salary: $200,000β$400,000 base salary, plus equity.
Company
is building a product powered by an AI agent.
What you will do
- Design and build production agentic workflows, including orchestration, prompting, tool use, and evaluation.
- Engineer context, retrieval, and search systems using semantic search, keyword search, APIs, and SQL.
- Ship customer-facing features end-to-end, from backend data models and APIs to React interfaces.
- Partner with platform and research teams to bring AI capabilities into production.
- Own ambiguous projects, define milestones, coordinate cross-functional delivery, and work directly with customers to validate product fit.
Requirements
- 5+ years of professional software engineering experience in full-stack, product, or AI engineering roles.
- Production experience with LLMs or agent-based systems, including orchestration, prompting, tool use, and retrieval.
- Strong experience with TypeScript, React, Postgres, and NestJS.
- Experience with AI production concerns such as evaluations, latency, error handling, and streaming.
- Experience owning end-to-end projects in a startup environment and building maintainable, scalable software.
- Excitement about working in person from the New York City office is required.
Nice to have
- Experience with AWS, Docker, Kubernetes, or Terraform.
- Background in developer tools, infrastructure, or observability.
- Experience building retrieval or search systems.
- Customer-facing product discovery experience.
- Prior technical leadership or project leadership experience.
Culture & Benefits
- Startup environment focused on building from zero to one, experimentation, and fast iteration.
- Health, dental, and vision coverage, plus retirement benefits.
- Unlimited paid time off and dinner provided when working late.
- Monthly fitness stipend and equipment needed for the role.
- Citi Bike and train commute benefits.
Hiring process
- Application review followed by an introductory chat.
- Founder interview and technical interview.
- On-site interview day with a series of one-on-one interviews.
- Fast hiring decision after the interview process.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β