Job Title - AI Engineer (Generative AI & Data Products)

Locations: Gurgaon (Delhi NCR) or Bangalore (On-site)

About the Role

We are seeking an experienced, product-minded AI Engineer specializing in Generative AI and Agentic systems to design and build production-grade Data Products. In this role, you will bridge the gap between core backend software engineering and cutting-edge artificial intelligence, transforming complex enterprise data into intelligent, autonomous applications.

The ideal candidate has a robust foundation in data structures, a proven track record of shipping real-world digital products, and hands-on experience building multi-agent workflows and advanced retrieval systems that solve specific, high-impact business use cases.

Key Responsibilities

- Build GenAI Data Products: Architect and deploy end-to-end data products that leverage Large Language Models (LLMs) to automate complex workflows, extract insights, and process large-scale data structures.
- Design Agentic Workflows: Implement autonomous, multi-agent systems capable of sequential reasoning, tool-calling, and independent decision-making for specific business use cases.
- Advanced Data Ingestion: Design and optimize Retrieval-Augmented Generation (RAG) pipelines, custom data indexers,



and vector database management systems to handle structured and unstructured data.
- Production Engineering: Write clean, production-grade backend APIs and maintain high availability, security standards, and low latency for deployed AI features.

Required Skills & Qualifications

- Experience: 6+ years of software engineering experience, with a heavy focus on building and deploying production-scale ML/GenAI systems.
- GenAI & Agentic Expertise: Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI) and building practical agent tools.
- Data Product Mindset: Proven experience translating raw data and complex business rules into user-facing AI applications (e.g., intelligent search, automated compliance, insight generation).
- Core Tech Stack: Strong proficiency in Python, FastAPI/Flask, SQL, and Vector Databases (e.g., FAISS, Redis, Pinecone).
- Cloud Infrastructure: Experience deploying applications on cloud platforms (AWS, GCP, or Azure).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Engineer - Gen AI & Data Products (Gurugram)
🏢 Cerebraix
📍 Gurugram