Senior AI Engineer

Senior AI Engineer

???? Mumbai | Hybrid

About Quantanite

Were a global CX and digital solutions partner that blends cutting-edge AI with the human touch. Headquartered in London and operating across 4 continents, our 2,000+ people help some of the worlds fastest-growing brands scale smarter, work faster, and deliver better serviceevery time.

Were not your typical outsourcing company. At Quantanite, great service is built on two things: smart tech and smarter people. From proprietary AI platforms like MBIUS to our collaborative, people-first culture, we equip our teams with the freedom and tools to build game-changing solutions.

If youre looking for a place where your AI engineering skills can shape real enterprise impact (not just POCs), youll feel at home here.

The Role

As a Senior AI Engineer, youll own the full lifecycle of AI solutionsfrom design to production. Youll be hands-on with multi-agent workflows, advanced knowledge retrieval, and LLM optimization to solve enterprise-scale problems.

Expect to lead projects such as AI Copilots, Enterprise Search Systems, Summarization Engines, and Intelligent Automation Toolsbuilding robust, scalable solutions that move beyond prototypes into production.

Youll also play a key role in mentoring junior engineers, setting engineering standards, and collaborating cross-functionally to ensure delivery at scale.

What Youll Do

• Build and deploy agentic systems and multi-agent workflows using LangChain, LlamaIndex, OpenAI SDK (and beyond).
• Design RAG pipelines with vector DBs like FAISS, Pinecone, Weaviate, or Qdrant.
• Fine-tune and optimize LLMs (GPT-4, Claude, LLaMA, Mistral, Gemini) with LoRA/QLoRA, quantization, and other techniques.
• Implement guardrails, safe API usage, and PII protection for secure deployments.
• Monitor/evaluate agent performance with LangSmith, AgentOps, and similar tools.
• Ship real-world enterprise AI use casesCopilots, orchestration engines, intelligent search, and more.
• Mentor and review the work of junior AI engineers, spreading best practices.
• Work with product, data, and DevOps teams to bring AI solutions into production at scale.

What Youll Bring

• Solid grounding in LLMs and GenAI (fine-tuning, prompt engineering, practical deployment).
• Proven track record with RAG pipelines and vector databases.
• Hands-on with agent frameworks (LangChain, LlamaIndex, etc.) and orchestration.
• Experience deploying/scaling models on clouds (AWS, Azure, HuggingFace).
• Strong coding ability in Python or similar.
• Familiarity with LLM Ops: monitoring, evaluation, cost optimisation.
• Delivered enterprise-grade AI solutions (not just demos).
• Experience mentoring engineers and building technical excellence in a team.

• Looking to get Placed? Try our Placement Guarantee Plan

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  Bonus: contributed to open-source LLM projects or worked on autonomous agent use cases (research copilots, orchestration systems).

Qualifications

• B.Tech (required).
• 4.57 years of relevant experience.
• Strong knowledge of GenAI, agentic systems, and multi-agent architectures.
• Attributes: clear communicator, strong leader, highly tech-savvy.
• Preferred: exposure to BPO/KPO environments or systems experience in enterprise AI/agentic tools.

Why Quantanite

• ???? Hybrid work model.
• ???? Ongoing training, mentorship & career growth.
• ???? Inclusive, people-first culture.
• ???? Health insurance & provident fund.

Quantanite is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all.

???? Ready to push agentic AI beyond theory into enterprise-scale impact Lets build the future together. Apply today to discover how we can build better, together.