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Remote role and metro location increase applicant pool, but seniority and niche LLM/backend specialization limit competition.
High because role demands deep backend, distributed systems, and LLM production experience specific to AI platforms.
High due to an explicit 12+ years requirement and many mandatory backend, AWS, and LLM integration skills.
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Own end-to-end backend architecture and scalability for a multi-tenant AI platform transitioning from prototype to production.
Design and evolve high-throughput AI extraction pipelines, multi-provider LLM abstraction layers, and distributed async worker/queue systems.
Lead AWS production deployment architecture, API lifecycle management, and enforce platform security, compliance, and observability standards.
12+ years of backend engineering experience with focus on distributed systems and production-grade platform design.
Expert in Python with hands-on experience in FastAPI, SQLAlchemy, Pydantic v2, and async programming (asyncio, ThreadPoolExecutor).
Strong PostgreSQL skills including schema design, indexing, query optimization, and multi-tenant isolation.
Hands-on AWS production experience with EC2/ECS, RDS, S3, ALB, IAM, Secrets Manager, and CloudWatch, plus multi-provider LLM API integration experience.
Proven ability to design and operate scalable microservices with advanced failure isolation and async architecture patterns.
Experience building or leading backend engineering for AI/ML serving or extraction platforms with deep LLM integration.
Capable of engineering leadership including mentoring senior engineers, setting coding standards, and driving technical roadmaps in enterprise environments.