Senior AI Engineer

Role : Senior AI Engineer

Location : 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 M- BIUS 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 solutions - from 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 Tools - building 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 cases - Copilots, 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.

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

Qualifications :

Tech (required) :

- 5 - 7 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.