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.(ref:hirist.tech)
