Product Engineering Leader: High-Performance Backend Systems
1 month ago
Essential AI aims to create a seamless partnership between humans and computers, unlocking unprecedented collaborative capabilities. To achieve this, we innovate across the entire technology stack - from user experiences to advanced models that maximize user value per computational resource.
We believe in the power of focused teams to drive groundbreaking breakthroughs. We're building a world-class team of multi-disciplinary experts passionate about solving complex real-world AI challenges. Backed by reputable investors like March Capital, Thrive Capital, AMD, Franklin Venture Partners, Google, KB Investment, and NVIDIA, we have the resources to succeed.
The RoleAs a Senior Software Engineer, you'll lead our product team's engineering efforts, designing and implementing interfaces and APIs for powerful interactions with large language models. You'll collaborate with engineers and researchers to develop key components of our product and platform.
This position will focus on the backend platform while working closely with customers to quickly understand their needs and design effective solutions. As a senior engineer on our founding Product Engineering team, you'll be responsible for designing, developing, and innovating our robust and scalable backend infrastructure, which powers our products. You'll also deploy our solution into customer environments and work with cross-functional partners to deliver high-quality solutions meeting our business requirements and delighting customers.
Key Responsibilities- Collaborate with researchers and engineers to design and implement core infrastructure and systems powered by foundation models for enterprise workflows.
- Explore, iterate, and build innovative products that bring model capabilities to life through user-friendly interfaces.
- Engage deeply with customers to understand their needs and iterate quickly to customize our product to meet their requirements.
- Have the opportunity to shape and impact new kinds of software enabled by LLMs to improve valuable enterprise workflows.
- Deploy and scale AI-powered products from scratch while defining standards and protocols for monitoring, evaluation, security considerations, etc.
- 6+ years of experience in building distributed and scalable backend systems, with a focus on deploying software in other enterprises.
- Technical leadership experience, including previous involvement in building products at the 0 to 1 stage.
- Experience with high-performance backend systems in frameworks like Rust, Go, TypeScript, or Python.
- Experience with database technologies like MySQL, Postgres, DynamoDB, Redis, and big data platforms like BigQuery, Redshift, Snowflake, etc.
- Knowledge of Restful and GraphQL concepts.
- Production-grade experience with GCP, AWS, Terraform, or Kubernetes, including deployment pipelines, streaming services, security management, etc.
- Ability to navigate and execute amidst ambiguity to help your team, the customer, and end-users succeed.
- (Bonus) Experience building backends in private cloud environments (VPCs, on-prem) is a plus.
- (Bonus) Experience working with generative or machine learning models.
We encourage applicants who don't meet all these requirements but are eager to explore these techniques.
We're based in San Francisco and work fully onsite 5 days a week. Relocation assistance is available for new employees.
The estimated salary range for this role in San Francisco, CA, is up to $225,000. Final offer amounts depend on factors like past work experience, relevant education, performance in interviews, and market compensation benchmarks. In addition to cash pay, full-time positions come with equity, a 401(k) plan, health benefits, daily lunches, and snacks.
Essential AI commits to providing an inclusive work environment free from discrimination and harassment, as well as equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. We consider qualified applicants with criminal histories, consistent with legal requirements. Our EEO policy and recruitment guidelines can be found here.
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