Self-motivated Engineer with a solid grasp of AI/ML fundamentals and a relentless drive for innovation. This role requires an agile builder who can bridge the gap between model research and production-grade software with a product-focused mindset.
Key Responsibilities
- Implement high-performance systems leveraging LLMs, Generative AI, and traditional ML to solve enterprise-scale problems.
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Build and maintain RAG (Retrieval-Augmented Generation) workflows and data pipelines using Python and vector databases.
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Refine model outputs through prompt engineering, fine-tuning, and latency optimization.
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Write modular, scalable code and integrate AI services into cloud ecosystems (AWS, Azure, or GCP).
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Rapidly integrate emerging frameworks like LangChain, LlamaIndex, and Hugging Face into production workflows.
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Implement automated testing, model monitoring, and "golden datasets" to ensure reliability and safety.
Experience Required
- 8+ years of hands-on experience in GenAI, Agentic AI, MCP & LLM's
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Experience in deploying models in production environments.
Why Join Us?
- Work in an innovative environment with the business that is shaping the future of data migration.
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Be part of a dynamic, high-growth environment at NucleusTeq.
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Competitive salary and comprehensive benefits package.
