Job highlights

- Advanced Python programming with expertise in asynchronous programming, LLMs (GPT-3/4, Claude, Llama), RAG architectures, LangChain &
- LangGraph, prompt engineering, and API integration

- Design, build, deploy and maintain AI-driven applications using LangChain, LangGraph, RAG systems, develop agentic workflows, and optimize generative model prompts

Primary Skills (Must Have)

- Python Programming: Advanced proficiency, including asynchronous programming, data structures and object-oriented design.

- Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama or similar; familiarity with Small Language Models (SLMs).

- RAG Architectures: Knowledge RAG, Graph RAG, hybrid retrieval systems and context-aware retrieval pipelines.

- LangChain &
- LangGraph: Hands-on experience building, deploying and maintaining applications using RAG, LangChain and LangGraph.

- Graph-Based Workflow Design:



Ability to architect, implement and debug complex, stateful, branching conversational flows using LangGraph.

- Agentic Frameworks &

- Evaluation: Ability to develop workflow automation using an agentic framework, with familiarity with evaluation techniques and tools for agentic applications.

- Prompt Engineering: Expertise in designing, testing and optimizing prompts for generative models.

- API Development &

- Integration: Experience integrating external APIs, tools, microservices and data sources into AI-driven workflows (FastAPI).

- Machine Learning Libraries: Familiarity with PyTorch, TensorFlow, Hugging Face Transformers or similar.

Secondary Skills (Positive to Have):

- Data Engineering: Basic knowledge of PySpark and Databricks is a plus.

- Azure Cloud experience.

📌 Data Scientist (Pune)
🏢 Quess IT Solutions
📍 Pune