Role Summary

We are looking for a hands-on Generative AI Engineer to design, build, and deploy productiongrade GenAI solutions. In this role, you will develop Retrieval-Augmented Generation (RAG)

pipelines, build Agentic AI workflows using modern frameworks, and leverage graph databases

such as Neo4j to power knowledge-grounded reasoning. You will collaborate closely with senior

engineers, data scientists, and product teams to translate business problems into scalable,

reliable AI systems.

Key Responsibilities
- RAG Pipelines: Design and implement end-to-end Retrieval-Augmented Generation

systems including chunking strategies, embedding models, vector stores, hybrid

search, and re-ranking — to deliver accurate, context-grounded LLM responses.
- Agentic AI Development: Build autonomous and multi-agent AI workflows using

frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel;

implement tool-use, planning, memory, and orchestration patterns.
- Knowledge Graphs: Model, build, and query knowledge graphs using Neo4j and other





Graph Databases; integrate graph-based retrieval (GraphRAG) with LLM pipelines for

enhanced reasoning and explainability.
- LLM Integration: Integrate and fine-tune Large Language Models (LLMs) using prompt

engineering, function calling, structured outputs, and parameter-efficient techniques

(LoRA/QLoRA) where applicable.
- Deployment & MLOps: Containerize and deploy GenAI services on AWS, Azure, or GCP;

implement monitoring, evaluation, versioning, and cost-effective scaling for AI

workloads.
- Responsible AI: Apply guardrails to mitigate hallucinations, prompt injection, bias, and

data leakage; contribute to evaluation frameworks for model accuracy and safety.
- Collaboration: Partner with cross-functional teams, document technical designs

clearly, and communicate trade-offs effectively with both technical and non-technical

stakeholders.

Required Technical Skills
- Generative AI: Strong hands-on experience

📌 Artificial Intelligence Engineer (Bengaluru)
🏢 cirruslabs
📍 Bengaluru