• Build and maintain Python/FastAPI services, SQLAlchemy/Alembic models, Redis caching, and background jobs (Celery/RQ).
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• Implement and optimize LLM orchestration pipelines: RAG flows, agent workflows, evaluation, tracing, retries, and feature flags.
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• Own CI/CD pipelines, environment promotion, schema migrations, canary/blue-green deployments, and operational reliability.
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• Add observability: structured logs, OpenTelemetry tracing, and RAG quality dashboards.
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• Integrate secure multi-tenant access with SSO (OIDC/SAML) and RBAC.
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• Participate in on-call rotations, incident response, and continuous improvement of production systems.
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Requirements

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• 4–6+ years of backend or full-stack engineering experience with Python/FastAPI/LangGraph in production.
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• Hands-on experience with LLM systems, embeddings, vector stores, and performance/cost optimization.
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• Strong CI/CD and operations mindset: SLOs, monitoring, incidents, and rollbacks.
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• Solid SQL, Redis, and background job experience.
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• Experience integrating SSO (OIDC/SAML) and multi-tenant RBAC.
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• Nice addition: Playwright/Stagehands/pywinauto, Temporal/Kafka, feature flags (langfuse/Unleash), HIPAA/SOC2 exposure.
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