Software Engineer, AI Agents

About the Role

We're looking for a product-minded AI engineer to help build our next generation of AI-powered data and marketing workflow products from the ground up. You'll work closely with a small, high-velocity team — including senior leadership — to rapidly prototype and ship production-grade LLM applications that directly impact how enterprise customers interact with their data.

What You'll Do

• Rapidly prototype and iterate on proofs of concept (POCs) exploring AI integration across data and marketing workflows.
• Architect and build production LLM pipelines and data agents that help users answer analytics and data science questions using their own data.
• Make key technical decisions around AI architecture, frameworks, and when to apply specific LLM methodologies.
• Partner directly with senior leadership to define, prototype, and ship new product ideas that lay the groundwork for major product lines.
• Develop a deep understanding of user workflows to create seamless, AI-assisted user experiences.
• Evaluate different AI approaches and determine where various LLMs can and cannot be effectively applied within the product.

What We're Looking For

• 4+ years of professional software engineering experience, with demonstrated growth in scope and ownership.
• Strong backend engineering skills — system design, scalable APIs, and production data pipelines.
• Proficiency in TypeScript and Node.js for building production backend services.
• Experience building complex AI applications beyond simple RAG implementations or chatbots — roughly 80–90% software engineer, with deep AI implementation knowledge.
• Prior experience working with LLMs, ML, or data-driven product features; familiarity with prompt engineering, embeddings, and model orchestration is a plus.
• Experience integrating with data sources such as SQL databases, data warehouses, or analytics APIs.
• Comfort with cloud platforms (AWS, GCP, or Azure), Docker, and CI/CD pipelines.
• Strong product intuition and customer-centric thinking, ideally from an early-stage engineering or founding role.
• Background at a high-velocity, VC-backed startup (Series A through D/E/F); experience in B2B SaaS, analytics, or martech is a plus.
• Strong CS or math fundamentals from a rigorous academic program.
• Excellent communicator — able to discuss technical problems and AI integration approaches clearly and concisely.
• Authorized to work in the United States without visa sponsorship.

Compensation & Benefits

Salary range: $200,000 – $320,000 USD annually. Equity included. Visa sponsorship is not available for this role.

Location

This role is fully remote within the United States, with a primary anchor in New York, NY. Candidates located in or willing to make occasional trips to the San Francisco Bay Area are also welcome.