Provide effort estimation, development planning, testing (sandbox/UAT), deployment, and post‑deployment support.
Troubleshoot production issues quickly with strong debugging/log analysis skills; drive root‑cause resolution and preventive fixes.
Work closely with internal stakeholders (Finance/Operations/IT) to validate requirements, conduct UAT, and ensure delivered changes address business needs.
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Stay updated with the latest advancements in LLMs, Generative AI, and machine learning technologies
Demonstrated passion for Generative AI and its application to real-world business problems; AI related hobby projects with strong developer background also counts
Experience with Python programming and scripting
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Stay updated with the latest advancements in LLMs, Generative AI, and machine learning technologies
Demonstrated passion for Generative AI and its application to real-world business problems; AI related hobby projects with strong developer background also counts
Experience with Python programming and scripting
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Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows.
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