Senior Full Stack Python & ML Engineer for Custom AI Integration

Description: We specialize in building sophisticated, cutting-edge AI solutions and custom software services for our clients. We are looking for an experienced Python and Machine Learning Engineer to help us seamlessly integrate AI capabilities into production environments. If you have deep expertise in LLM orchestration, Retrieval-Augmented Generation (RAG), and building scalable ML backends, we’d love to work with you. What You Will Do AI Integration & LLM Orchestration: Design, develop, and integrate custom AI features using advanced LLM models. RAG Pipeline Development: Build and optimize Retrieval-Augmented Generation architectures to ensure highly accurate, context-aware AI outputs. Vector Database Management: Implement and manage vector databases for efficient similarity search and data retrieval. Backend Development: Write clean, scalable Python code (using frameworks like FastAPI) to serve machine learning models and connect them with front-end applications. Optimization: Evaluate, test, and tune ML models and prompts to maximize performance and minimize latency. Requirements Proven experience as a Machine Learning Engineer, AI Developer, or Python Backend Developer. Strong proficiency in Python and standard ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and AI orchestration frameworks (like LangChain or LlamaIndex). Deep understanding of RAG architectures and experience integrating vector databases (e.g., Pinecone, Weaviate, or pgvector). Experience building robust, high-performance REST APIs (FastAPI preferred). Familiarity with cloud platforms (AWS) and modern development workflows (GitHub, CI/CD). Nice to Have Understanding of full-stack concepts and how AI endpoints integrate with modern frontends (React, TypeScript). Experience with agentic workflows or advanced prompt engineering techniques. Project Scope & Budget Project Type:  One-time project Budget: Fixed-price budget Estimated Timeline: 1-3 months