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Tier-1 startup brand, hybrid role, popular Software Engineer title, and mid-level experience amplify competition.
Combination of backend engineering and LLM experience is transferable, but requires AI-specific skills.
Explicit 1–5 year requirement plus mandatory LLM, Python/FastAPI, and MongoDB skills increases screening strictness.
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Build and maintain backend services and AI-driven workflows powering scalable product experiences with LLM-enabled features.
Design cross-repository features including API contracts, database schemas, and migrations across distributed systems.
Mentor junior engineers and collaborate with product and engineering stakeholders to deliver reliable, secure systems.
1–5 years of experience building and maintaining production backend or platform software.
Strong Python skills, especially with async FastAPI; experience with LLM APIs or AI-powered application features.
Advanced experience with MongoDB or similar document databases including indexing and query optimization.
Work Experience Required: 1–5 years
Experience shipping production LLM application features including prompt design and multi-step agentic workflows.
Proficient with distributed systems concepts (HTTP, caching, consistency, failure modes) and backend orchestration for AI tool integration.
Ability to write maintainable, tested code with a focus on performance, security, observability, and AI safety considerations.