While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an workplace that encourages you to innovate and excel, not just in professional but personal life, interests you
- you would enjoy your career with Quantiphi
Role:Machine Learning Engineer
Experience Level:2+ Years
Work location:Mumbai, Bangalore & Trivandrum
Notice Period: 0- 15 days
Role &Responsibilities;:
- Develop and optimize "Agentic" workflows for complex business processes like Buyer Automation and Hour Meter extraction.
- Implement advanced RAG (Retrieval-Augmented Generation) and tool-calling capabilities to enable agents to interact with external APIs and databases.
- Experience with high-reasoning models like Claude 3.5 Sonnet, with open-weight alternatives (Llama 3.1) for cost and performance optimization.
- Develop robust benchmarking and evaluation pipelines using frameworks like LangSmith or RAGAS to track extraction accuracy.
- Fine-tune and prompt-engineer models to handle specific industrial data formats and unstructured documents.
- Collaborate with Data Engineers to build seamless data pipelines that feed into agentic reasoning modules.
- Optimize model latency and token consumption to ensure scalable and cost-effective deployments.
Skills expectation:
- Expertise in LLM Orchestration patterns (ReAct, Chain-of-Thought, multi-agent collaboration).
- Deep experience with Azure AI services, including AI Search, AI Foundry, and Azure OpenAI.
- Strong background in software architecture, including microservices and event-driven patterns (Azure Service Bus).
- Proficiency in Python, advanced prompt engineering and techniques ML frameworks (PyTorch, TensorFlow).
- Experience with AI Governance, compliance, and risk mitigation strategies.
- Expert-level knowledge of LangChain, LangGraph, or Hayst