Forward Deployed Backend Software Engineer

Posted 8 days ago

At H2, we believe in augmenting human workers to help construction companies achieve massive productivity and quality improvements—think of it as a "Copilot for Construction." Our goal is to leverage neural network-based legacy AIs, multi-modal AI, transformer-based generative AI, and vast domain data to develop the next generation of human-centric AI solutions. These solutions aim to boost productivity by 10X and ensure construction remains safe for workers and reliable for consumers.

Our flagship product, AISekisan, is a human-AI hybrid solution that automates material takeoffs and project estimation. Material takeoffs and estimates are often a bottleneck in construction projects, but we improve this process by up to 25X while maintaining high accuracy.

We are headquartered in Tokyo, Japan but are rapidly expanding our customer base and engineering operations in the U.S.

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The ideal candidate is excited to be an early member of the engineering team of a well-funded startup. You’ll play a significant role in designing reusable, extendable data structures and resilient systems that not only enable fast delivery of AI features but also deeply integrate into our clients’ infrastructure.

• Design and build data structures, APIs and systems satisfying both functional and non-functional requirements, especially mapping well with domain and business logics.

• Work closely with cross-functional teams to bring AI values to our products and services, optimizing for technical and cost performance, and aligning with user needs.

• Stay up-to-date with the latest advancements in technologies and methodologies, evaluating and adopting new tools and frameworks as they are released.

• Continually improve products based on data-driven insights from users hearing and monitoring metrics.

• 5+ years in software development in a fast-paced tech environment.

• 4+ years of experience building backend in product settings.

• You’re extremely comfortable with Go or Rust (strong requirement).

• Strong teamwork via collaboration, documentation and public communication

• Ability to optimize systems to boost AI serving performance is a big plus