Job Description
Job Detail
- Lead the architecture and development of our suite of AI agents
- Develop the infrastructure necessary for integrating and utilizing Large Language Models (LLMs)
- Develop and manage data platforms with large-scale time series data
- Create tools for internal use that assess agent performance and support automated evaluations
- Design and implement Python services, including APIs and webhooks, to manage agents, orchestrate operations, perform benchmarks, and integrate with external systems
- Write clear documentation for code, systems, and processes
- Support GCP infrastructure, deployment strategies, and CI/CD pipelines
- Ensure performance, scalability, and efficiency of the application and database
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Key Qualifications
Hungry to be an early engineer at a high-growth startup and is willing to grind - Deep architectural experience in large-scale distributed systems and data management
- Strong sense of responsibility and ownership with a bias for solving problems and shipping impactful features into production that are well tested (unit & end-to-end)
- Ability to work from vague requirements and crystalize them for our product
- A deep-seated curiosity and passion for technology, with a fast-paced learning capability
- Prior experience is valued but not as crucial as the enthusiasm to learn and adapt
- Strong commitment to customer care, maintaining consistent, responsive communication, and an enjoyment in engaging with customers
- Listen, understand, and address customer needs
- Exceptional problem-solving and analytical skills, with a knack for tackling complex challenges
- Proven ability to operate independently as well as part of a team, showcasing strong collaborative skills
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What we offer
Opportunity to be an early member of a high-growth startup with a significant impact on the company’s success - Extremely competitive salary and equity package
- 100% Health/Vision/Dental ~