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Breakmark

Forward Deploy Engineer NYC

today
Breakmark · New York, NY
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  • Breakmark

    Forward Deploy Engineer NYC

    Breakmark · 🇺🇸 New York, NY · posted today
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Equity
    Early-stage share options
    Remote
    Work from home plus visits to customer teams
    Stack
    TypeScript, Go, Python, MCP

    TL;DR

    Forward Deployed Engineer in New York City, joining the founding NYC team of a global AI company. The role builds and deploys AI agents that connect to customer systems, data sources, and APIs, taking projects from discovery to production. Nice-to-have stack is TypeScript, Go, or Python.

    About Breakmark →

    The full posting

    About the Role

    Build AI agents that move beyond experimentation and into the day-to-day operations of major enterprises.

    Whether you’re already working with agentic AI or are an experienced software engineer ready to focus on it, this role offers the opportunity to take systems from initial discovery through to production—and see the impact of what you build.

    You’ll join the founding team in New York City at an ambitious global AI company, working directly with enterprise customers to solve complex operational problems. Delivery happens in weeks and months, with real ownership of the technical decisions, implementation, and outcomes.

    What You’ll Do

    This is a hands-on engineering role combining software development, customer collaboration, and end-to-end delivery.

    • Work directly with customers to understand their operations, technical environments, and success criteria.
    • Turn open-ended business problems into clear technical designs and working systems.
    • Build and deploy AI agents that connect to customer systems, data sources, and APIs.
    • Write production-quality code for integrations, business logic, and workflows.
    • Own implementations from discovery through launch, including testing, reliability, and performance.
    • Run technical workshops and guide customer teams on implementation best practices.
    • Test against real operational data, measure results, and iterate quickly.
    • Partner with Product and Engineering to improve the platform based on what you learn in the field.
    • Develop reusable tools, documentation, and delivery practices that help the team scale.

    Why Join

    • Help build the NYC team: Join early and shape how the company delivers for customers.
    • Work at the forefront of enterprise AI: Build agentic systems that solve real problems in production.
    • Learn alongside strong engineers: Collaborate with driven builders from leading technology companies.
    • Own meaningful work: Take responsibility for complex projects with major enterprise customers.
    • Enjoy variety and flexibility: Combine working from home with visits to customer teams.
    • Share in the upside: Receive a competitive salary and early-stage share options.

    What You Bring

    • Several years of professional software engineering experience.
    • A track record of building and scaling end-to-end production systems.
    • Experience integrating software with customer systems, APIs, cloud infrastructure, and production data flows.
    • Strong technical judgment and a practical approach to solving complex problems.
    • Confidence working directly with customers and bringing structure to ambiguous requirements.
    • Clear communication, initiative, and ownership from initial design through delivery.
    • A strong interest in building reliable AI-powered systems that deliver measurable value.

    Nice to Have

    • Experience in forward deployed engineering, solutions engineering, or another customer-facing technical role.
    • Experience with AI agents, MCP, automation, or conversational systems.
    • Proficiency in TypeScript, Go, or Python.
    • Experience working in a fast-growing startup.

    Interested?

    If you enjoy building, working closely with customers, and taking challenging systems into production, we’d love to hear from you.