A
Python Developer
adesso India
Thane, India₹35,000–₹100,000/mo≈ AED 1.5K-4.4K/moToday
IndiaPythonsoftware DevelopmentDesign PatternsGenAILLM Workflowsagentic FrameworksClean Code PrinciplesObjectOriented ProgrammingTesting MethodologiesVersion Control GitCICD PipelinesPython ExpertisePython LibrariesPython FrameworksChunking Document PreprocessingEmbeddings Vector DatabasesRAG RetrievalAugmented Generation WorkflowsFunction CallingTool Use Orchestration PatternsLangChainRAG PipelinesTool IntegrationLLM Orchestration WorkflowsLangGraphagentbased Librariesmultiagent Systemsworkflow Graphsautonomous PipelinesFull Time
Skills Required
PythonGitExcel
Job Description
Job Description Role Overview:
You are an experienced Python Developer who is passionate about building modern AI-driven applications. In this role, you will have the opportunity to work on cutting-edge AI solutions by collaborating with a high-performing team, designing intelligent systems, and building scalable applications powered by modern AI/LLM technologies.
Key Responsibilities:
- Build and enhance AI-powered applications using Python and modern LLM frameworks.
- Design clean, modular, maintainable code following software engineering best practices.
- Develop RAG pipelines, preprocessing workflows, and LLM orchestration flows.
- Work with vector databases, embeddings, chunking strategies, and retrieval pipelines.
- Implement multi-agent workflows using agentic frameworks.
- Collaborate with cross-functional teams to deliver high-quality AI solutions.
Qualifications Required:
- Strong background in software development with solid understanding of clean code principles, Object-Oriented Programming (OOP), design patterns, testing methodologies, Version control (Git), and CI/CD pipelines.
- Proven experience building scalable Python applications, ability to write modular, maintainable, production-grade code, and familiarity with popular Python libraries and frameworks.
- Basic to Intermediate knowledge of GenAI & LLM Concepts including Chunking & document preprocessing, Embeddings & vector databases, RAG (Retrieval-Augmented Generation) workflows, and Function calling, tool use & orchestration patterns.
- Hands-on experience with LangChain, including designing chains, building RAG pipelines, tool integration, LLM orchestration workflows, and working knowledge of LangGraph or similar agentic frameworks such as CrewAI, AutoGen, or other agent-based libraries. Experience designing multi-agent systems, workflow graphs, or autonomous pipelines.
About the Company:
The company focuses on next-generation GenAI and agentic automation use cases, offering an opportunity to design real-world AI systems that solve complex problems. They provide a collaborative environment focused on innovation and engineering excellence.
If you are interested in this exciting career opportunity, feel free to apply now or share your profile for a quick discussion. Role Overview:
You are an experienced Python Developer who is passionate about building modern AI-driven applications. In this role, you will have the opportunity to work on cutting-edge AI solutions by collaborating with a high-performing team, designing intelligent systems, and building scalable applications powered by modern AI/LLM technologies.
Key Responsibilities:
- Build and enhance AI-powered applications using Python and modern LLM frameworks.
- Design clean, modular, maintainable code following software engineering best practices.
- Develop RAG pipelines, preprocessing workflows, and LLM orchestration flows.
- Work with vector databases, embeddings, chunking strategies, and retrieval pipelines.
- Implement multi-agent workflows using agentic frameworks.
- Collaborate with cross-functional teams to deliver high-quality AI solutions.
Qualifications Required:
- Strong background in software development with solid understanding of clean code principles, Object-Oriented Programming (OOP), design patterns, testing methodologies, Version control (Git), and CI/CD pipelines.
- Proven experience building scalable Python applications, ability to write modular, maintainable, production-grade code, and familiarity with popular Python libraries and frameworks.
- Basic to Intermediate knowledge of GenAI & LLM Concepts including Chunking & document preprocessing, Embeddings & vector databases, RAG (Retrieval-Augmented Generation) workflows, and Function calling, tool use & orchestration patterns.
- Hands-on experience with LangChain, including designing chains, building RAG pipelines, tool integration, LLM orchestration workflows, and working knowledge of LangGraph or similar agentic frameworks such as CrewAI, AutoGen, or other agent-based libraries. Experience designing multi-agent systems, workflow graphs, or autonomous pipelines.
About the Company:
The company focuses on next-generation GenAI and agentic automation use cases, offering an opportunity to design real-world AI systems that solve complex problems. They provide a collaborative environment focused on innovation and engineering excellence.
If you are interested in this exciting career opportunity, feel free to apply now or share your profile for a quick discussion.