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Mid-level seniority and general software requirements increase competition, but niche LLM platform skills limit candidate pool.
Role requires specialized LLM, vector, and ML platform experience, so industry transferability is limited.
Multiple explicit requirements (5+ years, AWS cert, 2+ years LLM/platform experience) make shortlisting strict.
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Design and develop core AI platform capabilities including agent orchestration, vector search infrastructure, and LLM interfaces to enable secure, scalable GenAI and Agentic AI solutions.
Implement observability, reliability, security, and governance frameworks to ensure AI platform components are production-ready and compliant with enterprise standards.
Collaborate cross-functionally to productionize AI features, drive platform adoption through documentation and enablement, and support operations including on-call rotations and incident resolution.
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
AWS Cloud Practitioner Certification required.
5+ years of software engineering experience with at least 1-2 years building AI platform components.
2+ years experience implementing LLM-based services including prompt templates, tool/function calling, retrieval-augmented generation, and rate/latency management.
Experienced in building and operating large-scale AI platform infrastructure including orchestration and vector data services within a cloud environment (AWS).
Demonstrates strong ownership of observability, security, and governance in AI platform contexts ensuring reliability and compliance.
Skilled in cross-team collaboration to integrate AI platform capabilities into product workflows and enable adoption through documentation and automation.