Python Developer//Alpharetta ,GA//Fulltime, Onsite//In person Interview

#Fulltime

#Onsite

#face to face Interview

#Visa Need: GC-EAD

Job title: Python Developer

Location: Alpharetta ,GA

Role: Fulltime, Onsite

Interview Process: In person Interview

Job Description

Must Have Technical/Functional Skills

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.

Key Responsibilities: 

• 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 Fast API, 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.

Required Skills:

• 8+ years of hands-on experience in Python development.
• Strong expertise in Python frameworks such as Fast API, 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 Google Cloud Platform.

• 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.