Inflection AI needs backend engineers to build and scale the platforms, systems, and services that power their conversational AI platform, Pi, for enterprise customers, ensuring rapid iteration, high reliability, and secure delivery of AI features to millions of users.
Requirements
- 5+ years of experience building and scaling backend systems for high-throughput applications
- Fluent in building distributed systems with Python, Go, Rust, or similar languages
- Comfortable with cloud-native architectures (e.g., Kubernetes, gRPC, Postgres, Redis, Kafka)
- Experience owning backend services end-to-end—from design and implementation to deployment, monitoring, and debugging
Responsibilities
- Design and implement scalable backend systems and APIs that power production LLM experiences, including agentic workflows, memory systems, and tool integrations
- Build and operate high-availability infrastructure to support real-time inference, retrieval, and conversation pipelines
- Develop internal platforms to improve engineering productivity—CI/CD pipelines, service templates, observability frameworks, and rollout tooling
- Collaborate closely with applied research and frontend teams to rapidly prototype, ship, and iterate on end-user features
- Ensure systems meet our high bar for security, uptime, and latency—through incident response, load testing, monitoring, and automation
- Participate in on-call rotations to maintain the reliability of the services you build
Other
- Thrive in fast-paced environments where you can move quickly without sacrificing engineering rigor
- Proactively improve tooling and infrastructure to support your teammates’ workflows and reliability goals
- Communicate clearly across disciplines and take pride in solving user-facing problems with clean backend solutions
- 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:
- Hiring Manager Conversation – An initial discussion with the hiring manager to assess fit and alignment.
- Technical Interview – A deep dive with an Inflection Engineer to evaluate your technical expertise.
- Onsite Interview – A comprehensive assessment, including:
- A domain-specific interview
- A system design interview
- 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.
- Decision TimelineWe aim to provide feedback within one week of your final interview.
