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Specialized agentic AI skills reduce pool, but Bangalore location and mid-level seniority increase competition.
Role demands niche agentic AI, production LLM and customer-deployment experience, limiting cross-industry transferability.
Explicit 4+ years requirement, mandatory agentic/LLM expertise and production stack make screening highly selective.
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Design and deploy multi-agent autonomous AI frameworks integrated directly with high-growth startup and enterprise customers on DigitalOcean’s AI platform.
Translate complex, ambiguous business requirements into production-ready, tool-augmented AI workflows ensuring reliability, safety, and cost-efficiency.
Act as a strategic feedback loop between customers and internal AI/ML product teams to enhance platform capabilities based on deployment experience.
Minimum 4 years of hands-on experience in Applied AI, Machine Learning, or Data Science.
Expertise in multi-agent orchestration frameworks, tool-use pipelines, dynamic planning, and persistent memory models.
Strong production-grade Python programming skills including familiarity with Pydantic, FastAPI, Asyncio, and PyTorch.
Ability to travel up to 30% and overlap working hours with North American time zones (availability until at least noon Eastern Time).
Experience working directly with technical leadership (CTOs, AI engineering leads) to translate complex business challenges into AI solutions in customer-facing roles.
Operates well in fast-paced, strategic environments requiring rapid prototyping and production hardening of AI agentic frameworks.
Holds advanced technical qualifications (Master’s or PhD) and has experience with deep learning frameworks, distributed training, and latest AI research in large language and agentic models.