Inflection AI needs a Platform Engineer to build backend infrastructure for new ML-powered enterprise products, focusing on inference orchestration, model integration, and real-time deployment to support enterprise customers.
Requirements
- Backend engineering experience with Python, TypeScript, or Node.js.
- Hands-on experience working with production PyTorch models, model checkpoints, and inference logic.
- Strong knowledge of building APIs and services that are scalable, stable, and secure.
- Familiarity with tools such as FastAPI, Postgres, Redis, Kubernetes, and React.
Responsibilities
- Build and maintain backend services to support LLM integration, inference orchestration, and data flow.
- Write clean, reliable Python code for experimentation, model integration, and production systems.
- Design and implement infrastructure to handle scalable inference workloads and enterprise-level use cases.
- Own system components and ensure reliability, observability, and maintainability from day one.
- Collaborate closely with ML researchers to rapidly iterate on product ideas and deploy features.
Other
- At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company.
- For this role, Inflection AI estimates a starting annual base salary will fall in the range of approximately $175,000 - $350,000 depending on experience. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range.
- Apply: Please apply on Linkedin or our website for a specific role.
- After speaking with one of our recruiters, you’ll enter our structured interview process, which includes the following stages:
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- Hiring Manager Conversation – An initial discussion with the hiring manager to assess fit and alignment.
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- Technical Interview – A deep dive with an Inflection Engineer to evaluate your technical expertise.
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- Onsite Interview – A comprehensive assessment, including:
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- A domain-specific interview
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- A system design interview
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- A final conversation with the hiring manager
- Depending on the role, we may also ask you to complete a take-home exercise or deliver a presentation.
- For non-technical roles, be prepared for a role-specific interview, such as a portfolio review.
- We aim to provide feedback within one week of your final interview.
