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Remote role but specialized ML skillset and moderate brand reduce general applicant density.
Requires deep foundation-model and multimodal ML expertise, limiting cross-industry transferability.
Mandatory foundation-model, multimodal, and production AI experience imply strict technical filters.
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Translate ambiguous business/product needs into clear technical designs and validation plans for AI systems.
Build, maintain, and scale reliable, scalable AI-powered production and agentic applications integrating LLMs, VLMs, APIs, and microservices.
Implement and optimize AI workflows with focus on code quality, security, testing, observability, prompt/model optimization, and responsible AI principles.
Strong software engineering fundamentals with hands-on experience building production-grade systems.
Experience in one or more AI modalities: vision/images, video, text, audio, speech.
Hands-on knowledge of LLMs, VLMs, multimodal AI systems, foundation models, and agentic applications or RAG systems.
Work Experience Required: Not explicitly mentioned in the JD (Contractual 6-month role).
Experienced AI software engineer comfortable reading and implementing AI research papers and working on multimodal/foundation model architectures.
Skilled in system design, API integration, data flows, security, production reliability, and AI workflow orchestration.
Capable of ownership from ambiguous requirements to structured specs, mentoring others, and driving AI-first engineering practices.