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Generative AI Engineer ( contract )
Client's name will be disclosed during the process
Generative AI Engineer ( contract )
Client's name will be disclosed during the process's logo

Generative AI Engineer ( contract )

at Client's name will be disclosed during the process

Agency job
5 - 20 yrs
₹12L - ₹14.4L / yr
Remote only
Skills
Retrieval Augmented Generation (RAG)
graph - RAG
skill iconPython
skill iconMachine Learning (ML)
MLOps
Gremlin
airflow
cypher

🧩 About the Role

We’re seeking a highly skilled Generative AI Engineer to join our growing AI/ML team. You’ll take ownership of building and deploying RAG and Graph-RAG systems using cutting-edge LLMs, vector/graph databases, and Agentic AI frameworks. If you’re passionate about operationalizing intelligent AI systems at scale, this is the role for you.

šŸ”§ What You’ll Do

  • Design, build, and deploy RAG and Graph-RAG pipelines in production environments
  • Work hands-on with LLMs, embedding models, and vector/graph retrieval systems
  • Integrate and optimize vector databases and graph DBs (e.g., Neo4j, TigerGraph)
  • Automate workflows using MLOps tools (MLflow, Airflow, Docker, Kubernetes)
  • Experiment with agentic AI frameworks (LangChain Agents, AutoGPT, CrewAI)
  • Collaborate with cross-functional teams to scale and productionize AI solutions
  • Communicate complex system designs and project outcomes to varied stakeholders

🧠 What You Bring

  • āœ… 5+ years of experience building RAG and Graph-RAG systems
  • āœ… Strong Python programming and familiarity with retrieval frameworks
  • āœ… Hands-on experience with LLMs (e.g., OpenAI, Cohere, Mistral)
  • āœ… Deep knowledge of vector DBs (Pinecone, FAISS, Weaviate) and graph DBs (Neo4j, ArangoDB)
  • āœ… Proficiency in Cypher, Gremlin, or SPARQL query languages
  • āœ… Exposure to agentic systems and autonomous agent frameworks
  • āœ… Experience with MLOps (MLflow, Docker, Kubernetes, Airflow)

šŸ› ļø Tech Stack

RAG | Graph-RAG | LLMs | LangChain | AutoGPT | Python | FAISS | Pinecone | Neo4j | Cypher | MLflow | Airflow | Kubernetes | Docker

šŸš€ Why Join Us?

  • Work on state-of-the-art AI with a strong, collaborative team
  • Lead AI solutions from concept to production
  • Explore Agentic AI and intelligent system automation
  • Flexible remote setup with competitive compensation


Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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