Level

H Company

Founding Forward Deployed Engineer - US

H Company is hiring a Founding Forward Deployed Engineer - US in San Francisco, United States. Level rates it ; you can apply on H Company.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this forward deployed engineer role: the daily work is on AI products, without building the model.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions Python, TypeScript and FastAPI among its tools and skills.
  • Level classes it as a senior role.
  • H Company has 34 other open roles on Level.

AI in this role

Deploy and integrate autonomous AI agents and foundational models directly with customers as a founding forward deployed engineer.

pythontypescriptfastapinextjsreact
llm-integrationai-agentsai-researchforward-deployed-engineeringcustomer-facingfull-stack

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.

 

How we rate this

Founding Forward Deployed Engineer - US at H Company rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

LLM IntegrationAI agentsAI ResearchForward Deployed EngineeringCustomer FacingFull StackPythonTypeScript

Also common in forward deployed engineer jobs at this level

Pay

Typical forward deployed engineer job
$182k

This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs

Questions you could be asked

  1. How have you integrated a large language model into a production application?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. Tell me about a research question you investigated. What did you find?
  4. Tell me about a project where forward deployed engineering was part of your work. What did you do?
  5. Tell me about a project where customer facing was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: LLM Integration, AI agents, AI Research, Forward Deployed Engineering, and Customer Facing. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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