Lead Generative AI Solutions Engineer

As a Senior Generative AI Engineer at Quantanite, you will play a crucial role in driving the next generation of digital transformation solutions within the Business Process Outsourcing (BPO) operations for international clients. Your responsibilities will include:

• Taking ownership of the full lifecycle of AI solutions, from strategic conceptual design to production monitoring and performance optimization.
• Architecting, designing, and launching high-impact Generative AI solutions utilizing foundational models such as GPT, LLaMA, or Claude.
• Overseeing and executing precise fine-tuning of models using proprietary company data to enhance domain-specific accuracy and overall performance for global client needs.
• Strategically crafting and optimizing advanced prompt engineering strategies to maximize model efficacy and establish technical 'guardrails' to ensure ethical and safe AI usage.
• Defining and managing the seamless integration of sophisticated AI models into enterprise systems, ensuring robust and scalable deployment across international BPO operations.
• Architecting and implementing robust Retrieval-Augmented Generation (RAG) pipelines to enrich model context and solve client knowledge-retrieval challenges.
• Leading the continuous monitoring, performance tuning, and cost-efficient operation of deployed models in a demanding production environment.
• Shaping the team's technical direction, fostering growth, defining the technical roadmap, and driving critical architecture decisions.
• Serving as the primary technical driver and subject matter expert, partnering closely with product and engineering teams to translate high-level business requirements into functional AI technology.
• Mentoring junior engineers and team members, conducting code reviews, and fostering a culture of technical excellence.
• Taking ownership of complex projects, delegating tasks, and ensuring project milestones are met to a high standard.
• Clearly articulating complex AI concepts, strategic project statuses, and technical risks to executive stakeholders.

Qualifications required for this role include:

• Minimum 5+ years of progressive experience in AI/ML engineering, with at least 2 years focused specifically on Generative AI.
• Extensive previous experience in building, deploying, and managing conversational AI and assistant bots in a high-traffic production environment.

Required Skills:

• Expert proficiency in Python and familiarity with enterprise-level programming languages.
• Deep theoretical and practical understanding of Large Language Models (LLMs) and state-of-the-art Natural Language Processing (NLP) techniques.
• Hands-on expertise with major AI/ML frameworks such as PyTorch, TensorFlow, or Hugging Face.
• Proven capability in advanced prompt engineering, comprehensive model fine-tuning, and managing the overall GenAI development lifecycle.
• Extensive experience with orchestration frameworks like LangChain or LlamaIndex.
• Working knowledge of scalable vector databases.
• Proven experience deploying and managing services on major cloud providers.
• Solid grasp of designing highly available and scalable systems.

Preferred Skills:

• Experience with multimodal models (text, images, audio).
• Knowledge of MLOps principles and practices.
• Awareness of data privacy regulations, compliance standards, and AI ethics.
• Record of successfully leading the launch of a production-grade conversational AI solution. As a Senior Generative AI Engineer at Quantanite, you will play a crucial role in driving the next generation of digital transformation solutions within the Business Process Outsourcing (BPO) operations for international clients. Your responsibilities will include:
• Taking ownership of the full lifecycle of AI solutions, from strategic conceptual design to production monitoring and performance optimization.
• Architecting, designing, and launching high-impact Generative AI solutions utilizing foundational models such as GPT, LLaMA, or Claude.
• Overseeing and executing precise fine-tuning of models using proprietary company data to enhance domain-specific accuracy and overall performance for global client needs.
• Strategically crafting and optimizing advanced prompt engineering strategies to maximize model efficacy and establish technical 'guardrails' to ensure ethical and safe AI usage.
• Defining and managing the seamless integration of sophisticated AI models into enterprise systems, ensuring robust and scalable deployment across international BPO operations.
• Architecting and implementing robust Retrieval-Augmented Generation (RAG) pipelines to enrich model context and solve client knowledge-retrieval challenges.
• Leading the continuous monitoring, performance tuning, and cost-efficient operation of deployed models in a demanding production environment.
• Shaping the team's technical direction, fostering growth, defining the technical roadmap, and driving critical architecture decisions.
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