Location : Indore / Jaipur (WFO)

We're on the lookout for a passionate Data Engineer who thrives at the intersection of big data, AI, and intelligent automation. If you're excited about building scalable data pipelines and enabling LLM-powered workflows, lets talk.

What Youll Be Working On :

- Design and implement scalable batch and streaming data pipelines using PySpark and Apache Spark

- Build intelligent applications using LLMs, RAG, embeddings, and frameworks like LangChain or CrewAI

- Work with vector databases (e.g., FAISS, Pinecone, ChromaDB) to enable retrieval-augmented generation (RAG) use cases

- Create actionable insights through dashboards using Power BI, Tableau, or Looker

- Develop and maintain cloud-based data lakes and warehouse architectures (e.g., on Azure, AWS, or GCP)

- Collaborate with AI scientists, data analysts, and product teams to deliver business-impacting solutions

What Were Looking For :

- 25 years of hands-on experience in data engineering, AI, or analytics

- Strong skills in SQL, Databricks, PySpark, and Apache Spark

- Practical experience with vector databases like FAISS, Pinecone, or ChromaDB

- Exposure to AI orchestration tools/frameworks : LangChain, CrewAI, or Haystack

- Experience working on one or more cloud platforms : Azure, AWS, or GCP

Bonus points for :

- MLflow, CI/CD pipelines, and ML/LLM lifecycle management

- Familiarity with Responsible AI practices and LLM orchestration workflows

Ideal Background :

- Educational or professional background in Data Engineering, AI/ML, Business Analytics, or Consulting

- A problem-solving mindset with a strong drive to learn and build in a fast-paced, client-facing environment