Python Software Engineer- AI Applications

Required Qualifications • 4–8+ years software engineering (mid–senior); strong Python 3.x. • Production FastAPI (or Flask) delivering secure, versioned APIs. • Cloud experience on GCP or AWS (e.g., Cloud Run/GKE/Pub/Sub or Lambda/EKS/API Gateway/SQS). • Datastores: Postgres/MySQL and one of Redis/ElastiCache/Memorystore; migrations and schema design. • CI/CD (GitHub Actions/Cloud Build), containerization (Docker), IaC familiarity (Terraform helpful). • Testing culture (unit/integration/contract), API specs (OpenAPI), and observability. • Strong grasp of resiliency patterns and performance tuning in distributed systems. Preferred Qualifications • Experience integrating AI services (Vertex AI/Gemini, AWS Bedrock, OpenAI) and prompt/response handling. • Intermediate data engineering skills with Python/SQL • Security: OAuth/OIDC, JWT, service-to-service auth, KMS/Secrets Manager. • Data pipelines basics (e.g., batch to feature/API), and schema evolution practices. • Front end experience with React is a big plus (this would ultimately mean a full stack candidate). What You’ll Do • Design, implement, and document FastAPI services and SDKs for AI features. • Integrate third-party AI providers (Gemini, Bedrock, OpenAI) with secure, observable patterns. • Build event-driven and synchronous backends (REST/webhooks/queues) with robust error handling. • Optimize latency, throughput, and cost; add caching, rate limiting, and retries/circuit breakers. • Ship high-quality code with tests, CI/CD. • Instrument services (structured logs, metrics, traces) and own production readiness/runbooks. • Collaborate with product, data, and ML teams to translate requirements into APIs and workflows. • Uphold security, privacy, and compliance (secrets, OAuth/OIDC, PII handling).