Artificial Intelligence Engineer - Data Modeling

Description :

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 worlds fastest-growing brands scale smarter, work faster, and deliver better serviceevery time.

Were not your typical outsourcing company.

We believe great service is built on two things : smart tech and even smarter people.

From our proprietary AI tools like M- BIUS to our collaborative, people-first culture, we give our teams the tools, training, and trust they need to make an impact.

If you want to be part of a forward-thinking, fast-moving, and inclusive global team that values both results and relationships, youll feel right at home here.

Position Overview :

The Senior AI Engineer reports to the Head of Technology and is responsible for the entire lifecycle of AI solutions, from design to deployment.

This includes using multi-agent workflows, advanced knowledge retrieval, and large language models to solve enterprise challenges, thereby improving business efficiency, innovation, and strategic decision-making.

The role involves leading projects such as AI Copilots, Enterprise Search Solutions, Summarization Engines, and Intelligent Automation Tools, ensuring they are robust, scalable, and production-ready.

A key aspect of the role is mentoring junior AI Engineers and maintaining high engineering standards.

This is a full-time hybrid position based in Mumbai.

Key Responsibilities :

Core Functional Responsibilities :

• Build and deploy agentic systems and multi-agent workflows using frameworks like LangChain, LlamaIndex, and OpenAI SDK.
• Develop RAG pipelines using embeddings and vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant).
• Fine-tune and optimize LLMs (GPT-4, Claude, LLaMA, Mistral, Gemini) using techniques like LoRA / QLoRA and quantization.
• Ensure solutions are secure and compliant, with guardrails, safe API usage, and PII protection.
• Implement agent monitoring and evaluation with tools like LangSmith or AgentOps to track and improve performance.
• Deliver real-world enterprise use cases such as AI copilots, workflow orchestration, and intelligent search systems.
• Mentor junior AI Engineers, reviewing their work, sharing best practices, and supporting their growth.
• Collaborate with product, data, and DevOps teams to bring AI solutions to production at scale.
• Demonstrated knowledge of agentic AI frameworks Practical experience in Small Language Model (SLM) implementation.

Required Skills & Experience :

General & Cross-Functional :

Essential : Tech :

Preferred :

(ref : hirist.tech)