Senior Data Scientist - Generative& Agentic AI

Unistanz Software Pvt Ltd (www.unistanz.com) is hiring for the position of Senior Generative &Agentic AI Data Scientist. We are looking for candidates experienced in Generative AI, Agentic AI and NLP.

Client Deputation Location: JP Technopark, Bangalore |

Experience: 3+ Years

Notice Period : Immediate-15 days joiners preferred

Work Mode: Office based, with up to 4 WFH days per month.

Role Overview:

We are hiring a hands-on Senior Data Scientist to design and deploy enterprise****scale AI systems in Generative AI, Agentic AI, and NLP. You will build productionready AI agents that integrate with APIs, databases, and business workflowsensuring reliability, observability, and governance.

Responsibilities:

• Build and optimize LLM applications, RAG systems, embeddings, and vector database integrations ( Qdrant, Pinecone, FAISS, Chroma, Weaviate, Milvus)
• Develop autonomous agents using frameworks (LangChain, LangGraph, OpenAI Agents SDK, etc.) with planning, reflection, memory, and multiagent collaboration.
• Deliver endtoend NLP solutions (summarization, QA, sentiment, document intelligence).
• Ensure production readiness: observability, governance, security, and scalability.
• Collaborate with product, engineering, and business teams; mentor juniors.

Required Skills:

• Strong proficiency in Python.
• Handson with Agentic AI frameworks and NLP pipelines (PyTorch, Tensor Flow, Hugging Face, Lang Chain, Llama Index, NumPy, Pandas)
• Experience with open****source LLMs (Llama, Qwen, Mistral, Gemma, Granite).
• Knowledge of RAG architectures, embeddings, semantic/hybrid search, vector databases.
• Familiarity with model serving (vLLM, Ollama, TGI, TensorRTLLM).
• Solid engineering fundamentals: APIs, Git, containerization, distributed systems.

Preferred:

• Cloud platforms (AWS/Azure/GCP), Kubernetes, Docker.
• MLOps/LLMOps tools (MLflow, Kubeflow, Airflow, DVC, Argo Workflows, LangSmith, W&B).
• Experience integrating AI with enterprise platforms (CRM, ERP, ITSM).
• Contributions to opensource or AI communities.