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Remote senior ML-heavy engineering role at a known employer increases candidate pool despite senior requirements.
Requires deep ML/AI and large-scale backend expertise, limiting cross-industry transferability.
Explicit 10+ years plus mandatory deep backend and production AI experience creates strict shortlisting.
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Lead the research, architecture, and implementation of AI solutions for processing millions of unstructured documents and multimedia files daily.
Design and build scalable, cost-effective AI services and data pipelines that handle high reliability and throughput requirements.
Act as the chief technical mentor and thought leader for the engineering team, driving critical AI and data processing initiatives into production.
10+ years of professional software engineering experience with complex, data-intensive backend systems.
5+ years of experience building and scaling production services using frameworks like FastAPI, Django, or Spring Boot.
Strong expertise in large-scale distributed systems design, including asynchronous patterns, streaming/queuing/caching, and observability (logging, metrics, tracing).
Exceptional communication and leadership skills, able to influence engineering direction across multiple teams without direct authority.
Expertise in AI innovation using Large Language Models, Computer Vision, and advanced data extraction techniques at scale.
Experienced in overcoming real-world production AI challenges such as latency management, prompt engineering, and fault tolerance.
Proven ability to operate as a strategic technical leader and mentor within large engineering organizations working on data-intensive platforms.