
Leading edge research, proprietary models and agents, and a forward-deployed implementation approach for tangible ROI

Leading edge research, proprietary models and agents, and a forward-deployed implementation approach for tangible ROI
Founded: 2024 (Paris)
Core focus: Agentic AI systems and developer-facing products for automating web and enterprise workflows
Notable funding: $220M seed round (May 2024)
Offices / presence: Paris, London, New York
Employee count (snapshot): 326
Automation of web and enterprise workflows via agentic/autonomous AI agents and developer APIs.
2024
Artificial Intelligence / Enterprise software
$220M
Reported as a mix of equity and convertible debt; some reporting cites ~ $230M when including convertible notes
“Backed by a mix of venture funds, strategic corporate partners and notable individuals including Accel, Creandum, Bpifrance, Amazon/AWS, Samsung, UiPath, Eric Schmidt, Xavier Niel and Yuri Milner”
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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.
H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.
About the Team: The Product Engineering Team is committed to ensuring the successful implementation and operation of our Agents and Inference platforms, including ancillary services, which serve the needs of our Research department and act as a foundation for agentic products and services we take to market.
Key Responsibilities:
Requirements:
Location:
What we offer:
If you want to change the status quo in AI, join us.
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Technical skills:
Previous demonstrable role(s) as Staff Engineer with relevant set of responsibilities and achievements
Strong 5+ years of experience in Python backend development (Flask, Django, FastAPI or similar)
In-depth experience with distributed systems or cloud computing, preferably in AWS
Experience building and shipping end to end solutions
Experience building APIs (REST and/or GraphQL) and integrating with external services.
Expertise in relational and non-relational databases
Experience working with message queueing technologies (SQS/RabbitMQ/Kafka/etc.)
Solid understanding of coding standards, architectural patterns and test frameworks
Expertise in instrumentation, observability and monitoring
Soft skills:
Mentorship & Influence - You inspire and elevate engineers across teams - you are a true force multiplier.
Cross-Functional Communication - You communicate effectively with engineers and business leaders, switching between technical and business contexts.
Technical Leadership – You are able to guide teams through complex technical decisions, balancing short-term delivery with long-term architectural health.