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Remote posting and known enterprise brand increase visibility, but seniority and niche ML/platform skills limit applicant density.
Requires deep ML, LLM, and large-scale systems expertise, making cross-industry transferability limited.
Explicit 10+ years requirement plus mandatory deep backend, distributed systems, and ML expertise enforces strict filters.
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Lead architecture and development of scalable AI and data processing systems for ingesting and extracting insights from millions of unstructured documents daily.
Research, prototype, and implement advanced AI techniques including Large Language Models and Computer Vision to solve complex data extraction challenges.
Serve as principal technical mentor and influence engineering strategies across multiple teams, driving mission-critical initiatives to production.
10+ years professional software engineering experience building complex, data-intensive backend systems.
5+ years experience developing and scaling production-grade services using frameworks like FastAPI, Django, or Spring Boot.
Strong expertise in designing large-scale distributed systems with asynchronous patterns, streaming/queuing, caching, and observability.
Work Experience Required: 10+ years. Notice Period: Not explicitly mentioned in the JD.
Experienced in architecting and operating large-scale, fault-tolerant AI/ML production systems with high reliability and throughput.
Proficient in advanced AI integration challenges including managing LLM latency, prompt engineering, and defensive system design for production.
Demonstrates technical leadership and influence without direct authority, capable of mentoring large engineering teams and driving strategic initiatives.