Founding Forward Deployed Engineer - US

Hcompany

SF/Bay Area, NY

Hybrid

Who this role is best for

Strong fit for mid-level AI engineers who rapidly iterate and integrate LLMs into customer systems, with a focus on Python and agentic workflows.

Best fit for

Mid-level AI engineers with a track record of autonomous problem-solving and real-world product integration
— “ability to act autonomously and demonstrate real curiosity for AI”
Candidates experienced in deploying AI systems in fast-paced environments like startups or consulting
— “ideally in fast-paced environments (e.g., startups, consulting, or product teams)”

Things to consider

Travel is required for on-site deployments or customer engagements
— “Willingness to travel for on-site deployments or customer engagements”
Candidates must be based in one of the specified US locations: SF/Bay Area, Austin, or NY
— “This role can be based either in SF/Bay area-CA, Austin-TX, or NY”

How to stand out

Highlight experience with LLM integration and real-world product deployment in your resume
— “Experience working with AI/ML systems, especially integrating LLMs or other agentic workflows into real products”
Showcase your ability to rapidly iterate and deliver end-to-end solutions based on customer feedback
— “Rapidly iterate in the field with tight feedback loops to continuously improve product fit”
Demonstrate your fluency in Python and familiarity with Typescript in technical interviews
— “Heavy fluency in Python and familiarity with Typescript”
Emphasize your experience with backend and frontend frameworks and UI/UX tradeoffs
— “Familiarity with backend (FastAPI, Next.js…) and frontend (React…) frameworks and a good sense of UI/UX tradeoffs”
Demonstrate your ability to maintain and scale production-grade services in your portfolio
— “Architect, build, and maintain production-grade services that scale with usage and complexity”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

understand and identify customer’s most important and impactful multi-step task to automate
seamlessly integrate with customer systems
rapidly iterate in the field with tight feedback loops

Typical background

3+ years of professional AI + software engineering experience

Skills & requirements

Required

AI IntegrationCustomer-facing Technical RolesForward Deployed Engineering

Preferred

PythonTypeScriptFastapiNext.jsReact

Stack & domain

PythonTypeScriptFastapiNext.jsReactLlmsAgentic WorkflowsCommunicationProblem-solvingCustomer-facingCuriosity

About the role

Original posting from Hcompany via Ashby

FOUNDING FORWARD DEPLOYED ENGINEER
What we're looking for:
Individuals with impressive achievements and great technical skills, highly proficient in Python .
Around 3 years of experience in AI with the ability to act autonomously and demonstrate real curiosity for AI.
Customer-facing experience and comfortable working alongside a customer.
Excellent communication skills.
About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.
About the Team:
The Forward Deployed Team is committed to ensuring the successful implementation of our Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.
That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.
Key Responsibilities:
Understand and identify customer’s most important and impactful multi-step task to automate
Seamlessly integrate with customer systems, including but not limited to databases, third-party APIs, and internal tools, etc.
Rapidly iterate in the field with tight feedback loops to continuously improve product fit and drive end-to-end solution delivery
Architect, build, and maintain production-grade services that scale with usage and complexity
Collaborate closely with product, research, and engineering teams to shape the roadmap and align on priorities based on findings in the field
Requirements:
3+ years of professional AI + software engineering experience, ideally in fast-paced environments (e.g., startups, consulting, or product teams), or otherwise proven technical acumen through projects and past experiences
Experience working with AI/ML systems, especially integrating LLMs or other agentic workflows into real products
Heavy fluency in Python and familiarity with Typescript
Familiarity with backend (FastAPI, Next.js…) and frontend (React…) frameworks and a good sense of UI/UX tradeoffs
Experience building and deploying production systems: APIs, services, infrastructure, and/or data pipelines
Proficiency in integrating third-party APIs, databases, and external systems in a secure and reliable way
Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environments
Excellent communication skills, both written and verbal
Bias for action: able to ship quickly, iterate fast, and own the full lifecycle of solutions
Willingness to travel for on-site deployments or customer engagements
Location:
H's teams are distributed throughout Paris, France, London, UK, and the US.
This role can be based either in SF/Bay area-CA, Austin-TX, or NY.
What we offer:
Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.
Enjoy a competitive compensation package, including equity.

Source: Hcompany careers (Ashby)