About the Role At KANINI , we’re committed to building an environment where people can bring their best selves to work.

As an Data Scientist, you will design and implement cutting-edge AI solutions that power intelligent applications across industries like Healthcare, BFSI, and Retail . This role combines deep technical expertise in LLMs, RAG pipelines, and agentic AI with strong collaboration skills to deliver scalable, production-ready systems that drive business impact.

What You’ll Do

- Design and build Retrieval Augmented Generation (RAG) pipelines integrating LLMs, vector stores, and knowledge graphs from proof of concept to production.
- Develop and orchestrate multi-step LLM agents and decision-making loops using Lang Graph/Lang Chain.
- Write clean, test-driven Python code for model serving, data pipelines, and microservices.
- Integrate Java Services for legacy or latency-critical components via gRPC/REST.
- Containerize and Deploy services using Docker and Kubernetes (GKE/EKS), ensuring scalability and resilience.
- Set Up and Maintain GitLab CI/CD pipelines for automated testing, security scans, and blue-green deployments.
- Optimize Algorithms and Data Structures for efficient indexing, graph traversal, and low-latency retrieval.
- Collaborate Cross-functionally with product, UX, data science, and operations teams to translate requirements into technical solutions.




- Mentor Junior engineers and contribute to internal knowledge sharing through code reviews and tech talks.

Requirements What You Bring

- 5+ years of professional Python development experience (async, type hints, testing).
- Solid understanding of data structures and algorithms (hash tables, trees, graphs, heaps).
- Expertise in LLMs, tokenization, fine-tuning, prompt engineering, and evaluation.
- Hands-on experience building end-to-end RAG systems (vector DBs, embeddings, similarity search, knowledge graph integration).
- Practical experience with LangGraph or LangChain for agentic workflows.
- Excellent communication and collaboration skills in Agile environments.

Preferred Skills

- Java microservices integration via gRPC/REST.
- Docker, Kubernetes, Helm for production deployments.
- GitLab CI/CD, cloud platforms (GCP/AWS/Azure), and MLOps practices.
- Observability tools (Prometheus, Grafana) and container security.
- Open-source contributions to LangChain/LangGraph or similar AI tooling.

Why Join KANINI?

- People-first culture with diversity and inclusion at its core.
- Recognized as a Great Place to Work.
- Exposure to cutting-edge technologies: AI, Data Analytics, Cloud, IoT, Telehealth.

Ready to Make an Impact? Join us to shape the future of AI-driven solutions. Apply now and be part of a team that values innovation, collaboration, and excellence.

📌 Data Scientist (Chennai)
🏢 KANINI
📍 Chennai