Python back end Developer

Job Description

Python Backend Developer (FastAPI + LLM/ML Integrations) Location: Remote / Hybrid Type: Contract / Full-time Experience: 3+ Years Role Overview: We are seeking a skilled Python Backend Developer to design, build, and optimize RESTful APIs for seamless interaction with Large Language Models (LLMs), machine learning services, and cloud-based AI tools. You will work closely with frontend teams to deliver robust API services, manage database interactions, and integrate AI/ML components into scalable backend systems. The ideal candidate will have strong expertise in FastAPI, Python-based API development, text extraction (PDFs, documents), and cloud-based ML services (AWS Bedrock, Vertex AI, etc.). Key Responsibilities: Design and develop high-performance REST APIs using FastAPI for frontend consumption. Integrate with LLMs (OpenAI, Anthropic, Llama2, etc.) and ML models (RAG pipelines, embeddings, fine-tuning). Extract and process text/data from PDFs, documents, and unstructured sources using Python libraries (PyPDF2, pdfplumber, unstructured.io, etc.). Work with databases (PostgreSQL, MongoDB, Redis) for efficient data storage/retrieval. Implement authentication (JWT/OAuth), rate limiting, and API security best practices. Collaborate with frontend teams to optimize API responses and ensure smooth integration. Deploy and manage APIs on AWS/GCP (Lambda, API Gateway, EC2, Docker). Work with AI/ML tools like LangChain, LlamaIndex, Weaviate, or Pinecone for retrieval-augmented workflows. Write clean, scalable, and well-documented code with unit/integration testing (Pytest). Technology Stack: Backend: Python, FastAPI, Flask (optional), async programming AI/ML Integrations: OpenAI API, Hugging Face, AWS Bedrock, LangChain, LlamaIndex Database: PostgreSQL, MongoDB, Redis, ORMs (SQLAlchemy, Pydantic) Document Processing: PyPDF2, pdfplumber, unstructured.io, OCR tools (Tesseract) Cloud & DevOps: AWS (Lambda, API Gateway, S3), Docker, CI/CD (GitHub Actions) API Tools: Postman, Swagger/OpenAPI, RESTful standards Version Control: Git, GitHub/GitLab Required Skills & Experience: 3+ years of Python backend development (FastAPI/Flask/Django). Strong experience in building REST APIs for frontend/UI consumption. Familiarity with LLM APIs, RAG pipelines, and AI/ML cloud services. Knowledge of text extraction from PDFs/documents and data preprocessing. Experience with relational & NoSQL databases (PostgreSQL, MongoDB). Understanding of JWT, OAuth, API security, and rate limiting. Basic knowledge of AWS/GCP cloud services (Lambda, S3, EC2). Ability to work in an Agile/remote team environment. Nice to Have: Experience with asynchronous programming (async/await in FastAPI). Knowledge of WebSockets for real-time updates. Familiarity with ML model deployment (SageMaker, Vertex AI). Exposure to frontend frameworks (React, Next.js) for better API collaboration. Exposure to HIPAA Complaint project is a must. Show more Show less