H Company Logo

H Company

Forward Deployed Engineer

Reposted 19 Days Ago
In-Office or Remote
6 Locations
150K-180K Annually
Mid level
In-Office or Remote
6 Locations
150K-180K Annually
Mid level
The Forward Deployed Engineer will integrate AI systems with customer tools, architect scalable services, and improve product fit through customer feedback.
The summary above was generated by AI

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 confortable 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:

Base salary range: $150,000 to $200,000 based on experience.

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.

 

Similar Jobs

Yesterday
In-Office or Remote
2 Locations
Senior level
Senior level
Artificial Intelligence • Cloud • Information Technology • Software
Embed with customer teams running large-scale GPU training and inference to onboard, tune, debug, and improve reliability. Diagnose fabric, driver, scheduler, and application failures; profile performance; build automation, monitoring, and preflight checks; lead incident response; and convert field learnings into product improvements and reusable reference configurations.
Top Skills: AnsibleBashCgroupsContainer RuntimesCudaDcgmDevice PluginsFabric ManagerGoGpfsHelmInfinibandKubernetesKv CacheLustreNamespacesNcclNvidia DriversNvidia-SmiNvlinkPythonRoceSlurmSshTerraformTopology-Aware SchedulingVastWeka
3 Days Ago
Remote
Senior level
Senior level
Software
Customer-facing senior engineer who performs technical discovery, rapidly prototypes AI proofs-of-concept, embeds with client teams to deploy production-grade systems, handles complex integrations across cloud environments, documents hand-offs, and establishes scalable AI workflows and platform patterns.
Top Skills: Ai WorkflowsAPIsAWSAzureData PipelinesGCPHelixaiPython
5 Days Ago
Remote
USA
200K-300K Annually
Senior level
200K-300K Annually
Senior level
Software
Lead end-to-end customer rollouts of an AI-native planning platform: build and maintain data integrations, create performant financial models, develop AI-driven automated test harnesses, resolve data and performance issues, ship product fixes, and partner with finance stakeholders to operationalize solutions and feed product improvements back into engineering.
Top Skills: AIAnaplanBigQueryC#JavaLlmNetSuiteOnestreamOraclePlanfulProphixSAPSnowflakeSQLTm1/Planning AnalyticsTypescriptVena

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account