Job Title: Senior Generative AI Engineer
About Quantanite
Quantanite is a global customer experience and digital solutions partner that blends cutting-edge AI with the human touch. Headquartered in London and operating across four continents, our 2,000-strong team helps some of the world’s fastest-growing brands scale smarter, work faster, and deliver better service—every time. We believe great service is built on two things: smart tech and even smarter people. If you are looking to be part of a forward-thinking, fast-moving, and inclusive global team that values both results and relationships, Quantanite is the place for you.
Position Overview
We are looking for an experienced Senior Generative AI Engineer with minimum 5 Years of experience to architect, develop, and lead the deployment of complex, production-ready AI solutions. This role is responsible for the full lifecycle of AI engineering—from strategic design to end-to-end deployment—with a specific focus on multi-agent architectures, advanced knowledge retrieval, and Large Language Models (LLMs). You will drive technical innovation, mentor junior engineers, and translate complex business requirements into scalable, high-impact AI systems.
Key Responsibilities
- End-to-End Development: Own the full AI lifecycle, from conceptual design and architectural planning to model training, evaluation, and production deployment.
- Multi-Agent Systems: Architect and implement sophisticated multi-agent workflows and agentic systems using frameworks like LangChain, LlamaIndex, Langraph and OpenAI SDK to solve complex enterprise problems.
- RAG & Model Optimization: Design robust Retrieval-Augmented Generation (RAG) pipelines using vector databases and execute precise fine-tuning of LLMs (e.g., GPT, Claude, LLaMA) using techniques like LoRA/QLoRA.
- Deployment & MLOps: Ensure systems are production-ready, scalable, and secure. Implement effective monitoring, evaluation Technical Leadership: Mentor junior engineers, conduct code reviews, establish engineering best practices, and collaborate with cross-functional teams (Product, Data, DevOps) to deliver high-quality solutions.
Required Skills & Experience
- frameworks (e.g., LangSmith, AgentOps), and technical guardrails to mitigate hallucinations and ensure compliance.
- Experience: Minimum 5+ years of progressive, hands-on experience in AI/ML engineering, with a proven track record of delivering end-to-end enterprise-grade AI solutions.
- GenAI Expertise: Deep understanding of transformer architectures, prompt engineering, and the Generative AI development lifecycle.
- Framework Proficiency: Expert knowledge of Python and AI orchestration frameworks (LangChain, LlamaIndex).
- System Architecture: Experience building, deploying, and maintaining high-availability APIs and scalable systems on major cloud platforms (AWS, Azure, or GCP).
- Communication: Ability to articulate complex technical concepts and project statuses to both technical teams and executive stakeholders.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Demonstrated experience in deploying AI solutions into production environments.
What We Offer
- Meaningful AI Work: Build practical AI solutions designed for real enterprise environments and measurable business impact.
- End-to-End Ownership: Contribute across architecture, development, deployment, evaluation, and ongoing optimisation.
- Technical Influence: Help shape engineering standards, architectural decisions, and the continued development of Quantanite’s AI capabilities.
- Modern AI Challenges: Work with multi-agent systems, advanced retrieval, LLM optimisation, and production AI engineering.
- Global Exposure: Collaborate with technical and business teams across an international organisation operating on four continents.
- Career Development: Grow your technical leadership capability while mentoring engineers and contributing to a developing AI function.
- Work Model: Hybrid role based in Mumbai, India.
- Culture: A fast-moving, collaborative, and inclusive environment where strong ideas, accountability, and practical outcomes are valued.
Skills Required
- Minimum 5 years of IT experience
- 3+ years as a full-stack developer
- 2+ years with Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure Synapse
- Expertise in designing and deploying data pipelines
- Experience with AI technologies like machine learning and NLP
- Proficiency in Python
- Experience across multi-channel presentation and RDBMS/No-SQL databases
- Familiarity with vector databases
- Experience with development methodologies (RUP, Scrum, XP)
What We Do
We believe customers and employees should be looked after, and every interaction is an opportunity for a conversation and to learn more about them. The value of human touch is irreplaceable, so MöBIUS, our Conversational Gen AI chatbot, can fully automate or play a supporting role across end-to-end customer journeys. Whether you prefer the tradition of human-centric services, the efficiency of fully autonomous solutions, or a seamlessly blended approach, we’ve got you covered. When the human touch is needed, MöBIUS enhances our agents’ performance and amplifies their empathy. With productivity gains and automation, we save time for the human conversations that matter. Over the past decade, we’ve supported businesses by successfully applying our people and expertise to their diverse range of industries and use cases. Delivering simplified operations and improved customer experiences that allow our customers to focus their time on the things that matter to them. Our expertise stems from an in-depth understanding of customer needs, technology, markets, and constantly adapt to help our customers navigate difficult challenges. To learn more visit us at www.quantanite.com.
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