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Tier-1 brand, hybrid role, generalist backend title, and mid-level experience preference create high applicant competition.
Role requires backend, cloud, and LLM-specific experience, making cross-industry transferability limited and highly domain-sensitive.
Explicit mandatory tech stack (Python, FastAPI/Flask, RAG/LLM, LangGraph, AWS, Kubernetes) enforces high technical filters.
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Design and build scalable backend systems, AI-enabled services, and data pipelines to transform raw data into actionable insights.
Productionize AI/ML and LLM-based solutions including agentic workflows, prompt-driven automation, and LangGraph-based orchestration in production environments.
Establish software quality standards and deliver end-to-end backend solutions with strong observability, performance, and security.
Strong hands-on experience with Python backend development and frameworks like FastAPI or Flask.
Hands-on experience with RAG, LLM applications, Agentic AI, preferably LangGraph.
Experience with SQL/PostgreSQL, REST/GraphQL APIs, AWS, Docker, and Kubernetes.
Work Experience Required: Bachelor’s degree with 3 years of related experience (preferred, not strictly mandatory).
Experienced in designing and implementing AI-driven, scalable backend architectures with multi-agent and orchestration workflows.
Comfortable working in cross-functional Agile teams collaborating with product owners and engineers to align technical solutions with business goals.
Familiar with enterprise-grade software standards, DevOps practices, and cloud native deployments on AWS with container orchestration.