Forward Deployed Software Engineer

Growth Signals

Boston (MA)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

A dynamic AI startup in Boston is seeking a Forward Deployed Software Engineer to customize their GenAI platform for enterprise customers. You will leverage your full-stack development skills to build tailored solutions that enhance customer workflows. Responsibilities include leading the development of responsive components with React/TypeScript and designing secure API endpoints. Candidates should have over 3 years in software engineering, with expertise in APIs and cloud platforms. Opportunities for travel and direct customer engagement are part of this early-stage, innovative environment.

Qualifications

  • 3+ years of experience in a high-impact software engineering role.
  • Demonstrated expertise in client-side and server-side development.
  • Strong fundamentals in data structures and service design.

Responsibilities

  • Lead development of custom, responsive components using React/TypeScript.
  • Design and build highly-secure API endpoints using Python/Pyright.
  • Collaborate closely with end-users to deliver prototypes quickly.

Skills

React/TypeScript
Python
API design
JavaScript
Node.js
CSS
Cloud platforms (Azure, AWS, GCP)
Generative AI practices

Job description

We’re building the future of AI-driven strategic innovation, and we’re looking for people who are excited to join us at the ground floor. As a seed-stage B2B startup, we’re on a mission to help teams accelerate discovery, validate concepts faster and scale impact across the organization, and we believe customer obsession is our unfair advantage. As an early member of our team, you’ll shape how we engage, retain, and grow our product & customers.

As a Forward Deployed Software Engineer (FDSE) at Growth Signals, you'll work directly with enterprise customers to extend and customize our GenAI platform for their specific needs. You'll be their primary engineering partner, using your full-stack development skills to build solutions that integrate seamlessly with their systems and workflows.

In this role, you'll develop custom user interfaces and LLM-oriented workflows that unlock new capabilities—helping customers get insights faster and turn their data into actionable strategies using our platform.

Core Responsibilities
Full-Stack Platform Extension & Delivery
  • Lead development of custom, responsive components using React/TypeScript, interfacing with the Growth Signals platform endpoints.
  • Design and build highly-secure API endpoints and services using Python/Pyright, Flask, and Pydantic to orchestrate LLMs, agents, and MCP tools.
  • Ensure deployed software meets enterprise-grade standards for scalability, security, and reliability.
  • Collaborate closely with end-users to deliver prototypes and MVPs in days, reflecting a strong bias for action in a seed-stage environment.
Customer Engagement & Strategic Impact
  • Serve as a technical consultant, translating ambiguous business challenges into actionable, incremental, and deployable software requirements.
  • Own the complete technical lifecycle of customer engagements, from requirements gathering to final deployment of custom solutions.
  • Advocate for customers by relaying product insights and feature requests to the engineering team, directly influencing the Growth Signals product roadmap.
Required Qualifications And Skills
Technical Mastery (Full Stack)
  • 3+ years of experience in a high-impact software engineering role, with a strong portfolio of end-to-end project delivery.
  • Demonstrated expertise in both client-side development (JavaScript/TypeScript, CSS, React or equivalent) and server-side development (Python, Node.js, or Go).
  • Strong fundamentals in data structures, API design, and service design.
  • Familiarity with cloud platforms (Azure, AWS, or GCP) and production deployment practices.
  • Experience with generative AI practices, such as MCP and prompt engineering is preferred.
Working Style
  • Experience working with both technical and non-technical stakeholders.
  • Comfortable in an early-stage startup environment—you're self-directed and thrive with ambiguity.
  • Willing to travel up to 50% for on-site customer work.
  • Able to communicate technical concepts clearly to business audiences.
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