Sr AI Engineer

About Us

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 MBIUS 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

• Strong knowledge of LLMs and Gen-AI applications, with hands-on experience in fine-tuning and prompt engineering.
• Proven experience in RAG pipelines and working with vector databases.
• Practical expertise in agent frameworks (LangChain, LlamaIndex, etc.) and multi-agent orchestration.
• Ability to deploy and scale models on cloud platforms (AWS, Azure, HuggingFace, etc.).
• Proficiency in Python or similar programming languages.
• Experience with LLMOps (monitoring, evaluation, cost optimization).
• Strong track record of delivering enterprise-grade AI solutions, not just prototypes.
• Familiarity with agent monitoring/debugging tools (LangSmith, AgentOps).
• Experience mentoring or guiding junior engineers in a technical team.
• (Bonus) Experience fine-tuning open-source LLMs or contributing to community projects.
• (Bonus) Exposure to autonomous agent use cases such as research copilots or intelligent task orchestration.
  

Qualifications

Essential:

• B.Tech.
• Experience should be minimum 6 yrs to maximum 7-8yrs.
• Should have strong knowledge of Gen AI, Agentic systems and Multi Agent.
• Core attributes Communication, Leadership, Tech savvy .
  

Preferred:

• Industry-specific experience: BPO/KPO.
• Systems or tools experience: Gen AI, AI Agentic and Multi Agent.