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Mid-level (3–6 yrs), popular title, metro location, broad cloud/LLM skillset increases competition.
Core skills (Python, Kubernetes, LLMs) are transferable, multi-tenant retail platform experience adds moderate bias.
Explicit 3–6 year requirement plus mandatory Python, Kubernetes, LLM shipping and production ownership enforces strict filters.
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Develop and extend LangGraph-based AI agents integrating typed tool contracts, guardrails, and multi-tenant configurations.
Build and operate microservices on AWS EKS using Helm, Harness CI/CD, and secure pipelines with security gates.
Lead design reviews, mentor engineers, and implement observability with OpenTelemetry and Prometheus in a multi-tenant SaaS environment.
3 to 6 years of software engineering experience with strong production Python skills (FastAPI or similar, Pydantic, pytest).
Hands-on experience with LLM-powered features including agent frameworks (e.g., LangChain/LangGraph), tool calling, and prompt engineering.
Solid experience with Kubernetes and Docker on managed clusters (EKS preferred), Helm deployment.
Experience with at least two technologies among Kafka, Snowflake, Postgres, Redis, Couchbase, ClickHouse and working knowledge of API security standards (OAuth2/JWT, mTLS).
Experienced in building or integrating multi-cloud platform (MCP) tool servers and LLM agent tool interfaces.
Demonstrated production ownership with incident response and observability-driven debugging in security-gated CI/CD environments.
Comfortable working in complex multi-tenant SaaS architectures handling retail domain APIs and AI/ML model integration.