About the role:

We are looking for a hybrid AI and Data Engineer to build the next generation of 'Agentic' systems. You will bridge the gap between raw structured/unstructured data and actionable AI, moving beyond straightforward chatbots to create autonomous agents that can reason, search, and execute complex workflows.

Role & responsibilities

Technical Qualifications:
GenAI & Agentic Development
LLM Orchestration: 2+ years building and deploying AI-driven applications. You should be an expert in RAG pipelines and AI Agents using frameworks like LangChain, LlamaIndex, etc.
Model Proficiency: Solid understanding of Transformer architectures (Gemini, GPT, Claude).
Experience with fine-tuning, advanced prompt engineering, and optimizing context windows.
Vector Expertise: Proven ability to build semantic search layers using PG Vector, embedding models, and Google Indexing.
Data Engineering & Scale
Big Data Stack: Experience processing large-scale datasets using Python (Pandas/PySpark) or Scala.




Warehousing & SQL: Skilled experience with Snowflake or Redshift, including the ability to write high-performance Advanced SQL.
Data Modeling: Ability to design dimensional data models optimized for low-latency AI consumption and high data quality.
Software Craftsmanship
Production Standards: Focus on writing clean, maintainable code with robust CI/CD practices and ML Observability.

Preferred candidate profile
5+ years of experience in relevant technology
Education: B.Tech/M.Tech in Computer Science or a related field.
Advanced Agents: Experience experimenting with multi-agent systems for complex reasoning tasks.
Cloud Infrastructure: Hands-on experience with AWS (Bedrock, Lambda) for deploying and scaling AI workloads.
Gemini Ecosystem: Direct experience leveraging Google Gemini for multimodal or long-context applications

📌 Ai & Data Engineer Bengaluru
🏢 LOTUSVERSE
📍 Bengaluru