Advanced Engineer Software

AI Engineer (Backend, Python) 36 Years

What youll do:

• Own backend services for AI workflows: orchestration graphs (state, retries, timeouts, idempotency), tool execution, retrieval pipelines
• Design and operate production APIs: versioning, pagination, error contracts; streaming viaSSE/WebSocket
• Build data layers from scratch:Postgres/SQL , schema design, indexing, query tuning; caching (Redis)
• Apply distributed systems patterns: queues/workers, retries, backoff, DLQ, rate limiting, backpressure
• Improve reliability: observability (logs/metrics/traces), performance profiling, incident fixes

Must-have:

• Strong Python backend ownership (FastAPIpreferred) + production API design
• Strong concurrency:Asencio , thread pools, process pools; performancetradeoffs
• SQL/Postgres + datamodeling+ query optimization
• Distributed systems fundamentals (queues, workers, resiliency patterns)
• Docker + deployment/operations basics; CI/CD familiarity

Nice-to-have:

• gRPCexposure, K8s, vector DB + reranking/hybrid search,Open Telemetry

Screening Keywords:

• Python backend,FastAPI(production)
• API design: versioning, pagination, error contracts
• SSE / WebSocket streaming;gRPC(nice)
• Asyncioat scale, thread pools, process pools, profiling
• SQL, PostgreSQL, schema design, indexing, query optimization
• Redis caching
• Distributed systems: queues/workers (Kafka/RabbitMQ/SQS), retries, backoff, DLQ
• Rate limiting, backpressure, circuit breaker
• Docker, deployment, CI/CD
• Observability: logs, metrics, tracing (Open Telemetry/Datadog/Prometheus)