
Lead AI/ML Engineer – Generative AI Agent Systems
Posted Jul 16

Posted Jul 16
This is a fully remote position, open to applicants in India.
• Serve as the primary Subject Matter Expert (SME) on Generative AI, reasoning patterns of LLM, and frameworks for autonomous agents.
• Convert intricate business requirements from client stakeholders into comprehensive technical blueprints.
• Direct the architectural design, consultancy, and implementation of impactful AI agent ecosystems for enterprise clients.
• Take ownership of the technical vision for the core Go harness pattern.
• Lead the creation of detailed design specifications for agents, setting up structural tool definitions and systemic prompt engineering.
• Design and execute a continuous shadow-mode evaluation harness to assess agent performance against live production data.
• Supervise or directly construct the initial shadow-mode Proof of Concept (PoC) for the first designated agent to expedite project initiation.
• A minimum of 6 to 12 years of demonstrated experience in a professional services or IT consulting environment.
• Proven history of leading technical delivery teams and managing senior client stakeholders, such as CTOs and VPs of Architecture.
• Extensive, hands-on experience in deploying production-quality, multi-agent frameworks, LLM-based reasoning loops (Gemini), and autonomous workflows.
• Expert-level knowledge of the Vertex AI suite (Agent Engine, Agent Development Kit, Tuning, Vector Search) and robust enterprise GCP security architectures (VPC Service Controls, IAM, Pub/Sub).
• Advanced backend skills in Go (Golang) with a solid foundation in highly concurrent, distributed, and event-driven systems.
• Strong understanding of the operations within highly regulated sectors, including healthcare, finance, and public services.
• Ollion is an equal opportunity employer.
• We celebrate diversity and are committed to fostering an inclusive workplace for all employees.
• Ollion does not discriminate in employment based on race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or any other non-merit factor.
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