Senior AI Engineer

Quantanite; Thane; Hybrid; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Hybrid role (Mumbai)

Global exposure

Career development

Meaningful AI work

Technical leadership

End-to-end ownership

Inclusive culture

Job summary

Quantantanite in Mumbai, India seeks a Senior Generative AI Engineer to architect, develop, and deploy production-grade AI solutions with a focus on multi-agent systems, RAG, and LLM optimization. You will drive technical innovation, mentor junior engineers, and translate business requirements into scalable AI systems.

The role demands 5+ years in AI/ML engineering, strong Python and orchestration framework skills (LangChain, LlamaIndex), and cloud experience (AWS/Azure/GCP).

Qualifications

• Minimum 5+ years of AI/ML engineering, with enterprise-grade deployments.
• Bachelor's or Master's degree in CS/AI/ML or related field.

Responsibilities

• Own full AI lifecycle from design to production deployment.
• Architect multi-agent workflows and agentic systems.
• Design and optimize Retrieval-Augmented Generation (RAG) pipelines and fine-tune LLMs.
• Provide technical leadership, code reviews, and cross-functional collaboration.

Skills

AI/ML engineering

Python

LangChain

LlamaIndex

OpenAI SDK

Transformer models

Prompt engineering

Education

Bachelor's or Master's in CS/AI/ML

Tools

LangSmith

AgentOps

Langraph

Job description

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.