Adesso India specialises in optimization of core business processes for organizations. Adesso India focus on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.
Comprised of a team of industry experts and experienced technology professionals, ensure that software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging extensive knowledge and skills, empower businesses to achieve their objectives efficiently and effectively.
YOUR ROLE
We are seeking a highly skilled Python Developer with solid software engineering fundamentals and hands-on experience in modern AI/LLM application development. The ideal candidate should bring strong programming expertise, familiarity with GenAI concepts, and practical knowledge of agentic frameworks.
Key Requirements:
Strong software development background, with clear understanding of engineering best practices such as clean code, object-oriented programming (OOP), design patterns, testing methodologies, version control, and CI/CD pipelines.
Proven experience in Python development, including building scalable applications, working with popular libraries/frameworks, and writing maintainable, modular code.
Basic to intermediate understanding of GenAI concepts, including:
Chunking and document preprocessing
Embeddings and vector databases
Retrieval-Augmented Generation (RAG) workflows
Function calling, tool use, and LLM orchestration patterns
Hands-on experience with LangChain, specifically in designing chains, building RAG pipelines, integrating tools, and orchestrating LLM workflows.
Working knowledge of LangGraph or similar agent-based frameworks (such as CrewAI, AutoGen, or comparable libraries) to design multi-agent systems, workflow graphs, or autonomous process flows
Python, Clean Code, Object-oriented Programming, Design Patterns, Testing Methodologies, Version Control, Ci/cd, Scalable Application Development, Document Chunking, Embeddings, Vector Databases, Retrieval-augmented Generation, Function Calling, Llm Orchestration, Langchain, Rag Pipelines, Tool Integration, Langgraph, Multi-agent Systems, Workflow Graphs, Autonomous Process Flows, Crewai, Autogen