Tech Stack
AWSCloudDjangoPythonReactRedisTypeScript
About the role
- Leverage innovative thinking, problem-solving capabilities, and engineering expertise to address critical AI challenges for clients
- Configure and present tailored product demonstrations to highlight platform features for potential clients
- Advise customers on LLM evaluation best practices and provide strategic AI guidance
- Write code, construct specialized evaluation datasets, build custom web applications, and produce technical documentation to train customers on platform usage
- Author technical blog content and promote the product and organization through social platforms and industry gatherings
- Partner with interdisciplinary teams across delivery, product, engineering, and ML to influence product roadmap and achieve important business objectives
- Ground floor opportunity at a venture-backed startup.
- International and dynamic work environment with flat hierarchies and space for ownership.
- Challenging and diverse projects for continuous growth.
- Competitive salary and equity package.
- Annual stipend to support home office needs.
- Medical insurance reimbursement.
- We’re a remote-first company with an engineering team spread across the US, Africa and Latin America with a greater team that extends to Asia too. To make this work, we have core collaboration hours set from 8am to 1pm PST during which we have our stand-ups, planning meetings or retros.
Requirements
- Bachelor’s/Master’s degree in Computer Science, Mathematics, Statistics, or related analytical discipline
- Solid technical foundation, ideally in machine learning or data analytics
- Strength in programming languages such as Python, Typescript, or functional languages
- Familiarity with cloud platforms like AWS
- Outstanding communication abilities and analytical troubleshooting skills
- Flexibility to visit customer locations when required (Business trips to California)
- Having the legal right to travel to the US
- Demonstrate strong ethics, honesty, and consideration for colleagues