Python Developer

REALIGN LLC; Alpharetta (GA); On-site; USD 120,000 - 190,000; Full time

Job summary

REALIGN LLC in Alpharetta, GA seeks an experienced Python Developer focused on AI, ML, and Generative AI to design and deploy scalable AI-powered applications and backend services.

You will work with LLMs, AI frameworks, and cloud-native architectures, build REST APIs with FastAPI/Flask/Django, and collaborate with product and data teams to deliver enterprise-grade solutions.

Qualifications

• 8+ years of hands-on Python development experience.
• Strong command of FastAPI/Flask/Django.
• Experience building REST APIs and microservices.
• Solid understanding of ML/NLP and Gen AI concepts.
• Hands-on with LLMs, prompt engineering, and model integration.
• Familiar with LangChain, vector DBs, and AI orchestration.
• Proficient in SQL and data modeling; Git and CI/CD workflows.
• Experience with Docker and containerized environments.

Responsibilities

• Design, develop, and maintain scalable Python applications and microservices.
• Build and integrate AI/ML solutions including LLMs and Generative AI apps.
• Develop REST APIs using FastAPI/Flask/Django and ensure robust backend services.
• Design RAG solutions and AI-assisted workflows; support semantic search on vector DBs.
• Collaborate with product, data, and engineering stakeholders to deliver enterprise-grade solutions.
• Optimize performance, security, and reliability; participate in CI/CD and tests.

Skills

Python

Web frameworks

REST APIs

ML/NLP

LLMs/Gen AI

LangChain/OSFs

Vector embeddings

SQL

Git/CI/CD

Docker

Cloud familiarity

Tools

FastAPI

Flask

Django

LangChain

Weaviate

Pinecone

FAISS

ChromaDB

PyTorch

TensorFlow

Job description

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 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.

Required Skills

• 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.