Python Developer-6

Realign Llc; Alpharetta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

Realign Llc is seeking a highly skilled Python Developer to design, build, and deploy scalable AI-powered applications and backend services. The role focuses on AI/ML, LLM integration, and cloud-native architectures.

You will work on RAG solutions, vector databases, and AI orchestration, collaborating with product, data, and business stakeholders to deliver enterprise-grade solutions with robust performance and security.

Qualifications

• 8+ years hands-on Python development.
• Strong experience with FastAPI/Flask/Django.
• Experience with RESTful APIs and microservices architecture.
• Solid understanding of ML, NLP and Generative AI concepts.
• Hands-on with LLMs, prompting and AI model integration.
• Experience with AI orchestration frameworks (LangChain, LangGraph).
• Knowledge of embeddings and vector databases (Pinecone, FAISS, Weaviate, ChromaDB).
• Proficiency in SQL and database design; Git, CI/CD, and Docker.

Responsibilities

• Design, develop, and maintain scalable Python applications and microservices.
• Build AI/ML solutions including LLMs and Generative AI apps.
• Develop REST APIs and backend services with FastAPI, Flask, or Django.
• Design RAG solutions and AI-assisted workflows.
• Work with vector databases and embedding models for semantic search.
• Integrate AI services (OpenAI, Azure OpenAI, Gemini, Claude).
• Develop data pipelines for model training and inference.
• Collaborate with product and data teams for enterprise-grade solutions.
• Optimize performance, security, and reliability; participate in CI/CD.

Skills

Python development

Python frameworks

RESTful APIs

Microservices

ML & NLP

LLMs & prompting

AI orchestration

Embeddings & vector DBs

SQL & DB design

Git & CI/CD

Docker

Communication

Tools

LangChain

LangGraph

Semantic Kernel

CrewAI

AutoGen

Pinecone

FAISS

Weaviate

ChromaDB

PyTorch

TensorFlow

Scikit-learn

Pandas

NumPy

Kafka

Spark

Databricks

Snowflake

Docker

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.