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Data Scientist / AIML Engineer / Gen AI Engineer

A confidential client

Gurugram3–5 years

PythonRAGRetrieval-Augmented GenerationLLMTensorFlowPyTorchScikit-learnNLPAPI DevelopmentSystem DesignAI Agent Frameworks

About the role

Key Responsibilities: Design scalable, reliable AI systems with a focus on production readiness, maintainability, and performance. Create and maintain RAG pipelines and AI agent frameworks. Design reliable LLM workflows using structured outputs, validation, retrieval, and business rules. Perform data analysis, model evaluation, and root cause analysis of AI pipelines. Develop automated evaluation, validation, and testing strategies for AI applications. Develop APIs and integrate AI solutions into existing products and platforms. Monitor, troubleshoot, and continuously improve deployed AI systems alongside cross-functional engineering teams. Must-Have Qualifications: 3–5 years of dedicated experience building AI/ML applications. Regular, full-time Bachelor's or Master’s degree in CS, AI, ML, Data Science, or Engineering (Distance degrees are not applicable). Expert-level Python skills coupled with strong software engineering principles (testing, modular design). Proven experience developing and deploying RAG architectures and working with NLP. Production experience with ML frameworks: TensorFlow, PyTorch, or Scikit-learn. Must be willing to work entirely from our Gurugram office (Monday - Friday, 9 AM - 6 PM). Good-to-Have Skills: Vector Databases: Pinecone, Weaviate, FAISS, ChromaDB. Infrastructure: AWS, Azure, GCP, Docker, and CI/CD pipelines. Domain Knowledge: Prior exposure to Fintech products or financial use cases.

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Screening questions

1. Describe your hands-on experience designing and deploying RAG (Retrieval-Augmented Generation) architectures and LLM workflows in production environments. *

2. Which Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn) are you most proficient in, and how have you utilized them in recent projects? *

3. Do you have strong hands-on experience building APIs to integrate AI models into existing backend platforms? *

4. Do you have practical experience working with Vector Databases (e.g., Pinecone, FAISS) and deploying AI applications using Docker or cloud platforms (AWS/Azure/GCP)? *

5. Notice Period: What is your official notice period? Are you able to join within 0 to 30 days (buyout options are acceptable)? *

6. Location: This is a strict 5-days-a-week work-from-office role in Gurugram (DLF Phase III). Are you willing to work 100% on-site? *

7. Education: Do you hold a full-time Bachelor’s or Master’s degree in a quantitative field like CS, AI/ML, or Engineering? (Note: Distance education is an auto-reject for this role). *

8. Experience Gap & Stability: Do you have 3 to 4 years of continuous experience as an Individual Contributor, with no unexplained career gaps exceeding 6 months? *

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