Senior Backend Engineer, AI Platform
Build and operate backend services and shared platform components for real-time conversational agents and offline video generation. Work across architecture, APIs, data services, and production reliability in an enterprise environment.
Responsibilities
- Design, build, and operate backend services and platform components from architecture and API design through production support
- Develop high-throughput, low-latency services for real-time and batch workloads
- Define service contracts, versioning, and extension points for internal teams and customers
- Improve reliability, observability, and performance through tracing, metrics, alerting, load testing, and capacity planning
- Lead technical design reviews and assess open-source and third-party tooling
- Mentor engineers and improve code quality and engineering practices
- Partner with AI research and customer-facing teams to bring prototypes into production
Requirements
- At least 6 years of hands-on backend development experience building production systems at scale
- Python experience as a primary programming language
- Strong distributed systems experience, including microservices, API design, asynchronous processing, message queues or event streaming, caching, and concurrency
- Experience with relational and NoSQL databases such as PostgreSQL, Redis, or Elasticsearch
- Production cloud experience with AWS or GCP, containers, Kubernetes, and CI/CD
- Experience building shared infrastructure used by other teams
- Strong system design skills and ability to balance latency, cost, reliability, and delivery speed
- Familiarity with LLM orchestration frameworks, agent patterns, or MCP
Nice to have
- Experience with platform observability and structured request tracing
- Experience with retrieval-augmented generation, vector databases, or LLM evaluation frameworks
- Hands-on experience integrating LLMs into backend systems
Benefits
- Hybrid and flexible work environment
- Extended private health insurance, including mental health coverage
- Personal and professional development programs
- Occasional cross-company long weekends