Python Developer

Python developer with Gen AI.

Location : Pune

Experience : 3 to 8 Years

Python Developer - Generative AI & Machine Learning (3-8 Years’ Experience)

• Design, develop, and deploy scalable machine learning and Generative AI models using Python and relevant frameworks.
• Implement and manage Agentic Workflow systems, including the creation and orchestration of autonomous Agents .
• Good understanding of different RAG architectures (vanilla RAG, multi-query RAG etc).
• Develop robust Tool calling mechanisms for AI agents to interact with external systems and APIs. Familiarity with MCP.
• Work with and optimize Vector DBs (Vector Databases) for efficient storage and retrieval of high-dimensional embeddings.
• Optimize Context Engineering and prompt design to improve the performance and reliability of Generative AI applications.
• Expertise in Memory Management in Generative AI systems.
• Apply principles of Classical ML (e.g., supervised, unsupervised learning, time-series analysis) to solve business problems.
• Ensure code quality, performance, and scalability across all development cycles.
• Stay up-to-date with the latest advancements in AI, LLMs, and machine learning technologies. Required Qualifications
• Experience : 3-8 years of professional software development experience, primarily in Python.

Technical Expertise :

○ Strong proficiency in Python and its data science ecosystem (e.g., NumPy, Pandas, Scikit-learn, TensorFlow / PyTorch).

○ Demonstrable experience with Generative AI models (e.g., LLMs, diffusion models) and their application.

○ Familiarity with different tools involved in RAG architectures. ○ Practical experience in designing and implementing Agentic Workflow and developing intelligent Agents .

○ Familiarity with frameworks for building any agent systems (e.g., LangChain, LangGraph, CrewAI, Autogen).

○ Experience with Tool calling / MCP development for AI agents.

○ Working knowledge of Vector DBs (e.g., Pinecone, Weaviate, Milvus).

○ Solid foundation in Classical ML algorithms and techniques.

Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.

Preferred Qualifications