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# Python Developer

- **Company:** Tata Consultancy Services Limited
- **Location:** Milton, GA, United States
- **Experience:** Expert
- **Salary:** $110,000 - $120,000
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Application Performance Management, Microsoft Azure, Cloud Engineering, Code Review, Continuous Integration, Database Design, Distributed Systems, Django Web Framework, Monitoring of Systems, Python (Programming Language), Knowledge Management, Unix Shell, Machine Learning, Natural Language Processing, NumPy, Systems Development Life Cycle, OpenAI, Tensorflow, Search Technologies, Software Engineering, SQL Databases, Web Application Frameworks, Pinecone, Scripting, Pytorch, LangChain, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Apache Spark, Generative AI, Backend, Git, Fastapi, Pandas, Containerization, AI Platforms, Scikit Learn, Information Technology, CrewAI, Weaviate, AutoGen, Apache Kafka, Machine Learning Operations, FAISS, Claude, Google Gemini, Restful APIs, Semantic Kernel, Data Pipelines, Docker, ChromaDB, Databricks, Microservices
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/python-developer-alpharetta-ga--34117c83-437b-4460-b5ca-bcad129734a0

## About the Role

Python Programming/Scripting Language, Software Engineering, Computer Science, Software Engineering, Machine Learning, Python Programming/Scripting Language, Artificial Intelligence (AI), Automation, Scalable System Development, Microservices, Required Skills: Python | Unix Shell Scripting

Qualification: BACHELOR OF COMPUTER SCIENCE

Experience: 8 - 10 Years, We are seeking a highly skilled Python Developer with hands-on experience in Artificial Intelligence, Machine Learning, and Generative AI technologies. The ideal candidate will be responsible for designing, developing, and deploying scalable AI-powered applications, backend services, and intelligent automation solutions. This role requires strong Python development expertise combined with knowledge of LLMs, AI frameworks, APIs, and cloud-native architectures., * 8+ years of hands-on experience in Python development.

 * Strong expertise in Python frameworks such as FastAPI, Flask, or Django.
 * Experience with RESTful APIs, Microservices Architecture, and distributed systems.
 * Good understanding of Machine Learning, NLP, and Generative AI concepts.
 * Hands-on experience working with LLMs, Prompt Engineering, and AI model integration.
 * Experience with LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar AI orchestration frameworks.
 * Knowledge of RAG architecture, embeddings, and vector databases such as Pinecone, FAISS, Weaviate, or ChromaDB.
 * Proficiency in SQL and database design principles.
 * Experience with Git, CI/CD pipelines, Docker, and containerized environments.
 * Strong problem-solving, analytical, and communication skills.

Preferred Skills

 * Experience with cloud platforms such as AWS, Azure, or GCP.
 * Knowledge of MLOps, LLMOps, and model deployment practices.
 * Experience with PyTorch, TensorFlow, Scikit-learn, Pandas, and NumPy.
 * Familiarity with Kafka, Spark, Databricks, or Snowflake. · Exposure to AI governance, Responsible AI, and model monitoring frameworks.
 * Experience in Banking, Financial Services, Capital Markets, or other regulated industries.

## Description

* Design, develop, and maintain scalable Python applications and microservices.
 * Build and integrate AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications.
 * Develop REST APIs and backend services using FastAPI, Flask, or Django.
 * Design and implement Retrieval-Augmented Generation (RAG) solutions and AI-assisted workflows.
 * Work with vector databases and embedding models to support semantic search and knowledge management applications.
 * Integrate AI services such as OpenAI, Azure OpenAI, Gemini, Claude, or similar platforms.
 * Develop data pipelines for model training, inference, and AI-driven automation.
 * Collaborate with Product Owners, Architects, Data Engineers, and Business Stakeholders to deliver enterprise-grade solutions.
 * Optimize application performance, scalability, security, and reliability.
 * Participate in Agile development processes, code reviews, testing, and CI/CD activities.