Staff AI API Engineer

What are we looking for?

We’re seeking a Staff AI API Engineer specialized in backend systems and API development. This role requires deep expertise in Python-based API engineering, database architecture, distributed systems, and high-performance backend infrastructure. The ideal candidate will have proven experience designing, building, and maintaining production-grade APIs that integrate sophisticated AI functionality.

What will you do?

As a Staff AI API Engineer, you’ll join our globally distributed team to:

• Develop and maintain high-performance Python-based backend APIs supporting our generative and agentic AI products.
• Design and implement scalable, secure, and reliable backend architectures, leveraging technologies like asyncio, FastAPI, gRPC, Kafka, and GraphQL.
• Ensure robust data management, incorporating relational and NoSQL databases, Redis caching, streaming, and efficient data handling.
• Implement and manage secure zero-trust authentication and authorization schemes for public and internal APIs.
• Collaborate closely with frontend engineers, AI researchers, product managers, and DevOps teams to deliver cohesive product experiences.
• Optimize backend services for scalability, reliability, and performance in high-availability environments.

What skills and experience should you bring?

We're looking for experienced engineers passionate about building secure, high-performing backend systems, with:

• A degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 7+ years of professional experience developing scalable, production-quality Python backend services.
• Expert-level proficiency with Python, asyncio, and backend API frameworks such as FastAPI, gRPC, and GraphQL.
• Deep understanding of backend architectures, distributed systems, and microservices.
• Experience managing database architectures (relational databases, NoSQL, Redis).
• Strong expertise in authentication and authorization protocols (OAuth, JWT, OpenID Connect, etc.).
• Proven track record interacting with third-party APIs and developing fail-safe integrations.
• Familiarity with modern generative AI technologies (e.g., OpenAI, Anthropic, Google Gemini, Meta's LLaMA) and experience building backend integrations.
• Excellent communication skills and a collaborative approach in globally distributed teams.

Exceptional candidates will also bring expertise in:

• Proficiency in languages beyond Python, including Go, Java, Kotlin, Rust, C++.
• MLOps and AIOps practices and tools such as MLFlow, Airflow, or Weights & Biases.
• Experience with cloud infrastructure (AWS, Azure, GCP) and deployment tools (Docker, Kubernetes, Terraform, ArgoCD).
• Experience optimizing API performance and scalability in production environments.
• Background in cybersecurity, threat detection, or related fields.
• Agile methodologies, including experience as a Technical Lead or Scrum Master.

Why Us?