Machine Learning Engineer
Role details
Job location
Tech stack
Job description
Design, develop, and maintain RESTful APIs using Python and FastAPI. Build and orchestrate LLM-based workflows using LangChain and LangGraph. Integrate Tesseract OCR for document scanning, text extraction, and preprocessing from images and PDFs. Develop backend services for AI/ML-driven use cases, focusing on performance and scalability. Implement prompt workflows, agents, and state graphs for complex AI reasoning pipelines. Collaborate with data scientists, ML engineers, and frontend teams to deliver end-to-end solutions. Ensure code quality through unit testing, code reviews, and documentation. Optimize APIs and processing pipelines for speed, reliability, and accuracy.
Requirements
We are looking for a highly skilled Python Developer with strong experience in FastAPI, LangChain, LangGraph, and OCR technologies (Tesseract). The role involves building scalable APIs, orchestrating LLM-based workflows, and implementing document ingestion and text extraction pipelines to support AI-driven applications., Strong proficiency in Python. Hands-on experience with FastAPI for backend/API development. Practical experience with LangChain for LLM orchestration and integrations. Experience using LangGraph for managing complex AI workflows and stateful executions. Experience with Tesseract OCR for text extraction from scanned documents and images. Good understanding of REST APIs, asynchronous processing, and microservices architecture. Experience working with structured and unstructured data. Good to Have Exposure to OpenAI / Azure OpenAI / other LLM platforms. Experience with document processing pipelines (PDFs, images, scanned files). Familiarity with containerization tools (Docker) and cloud platforms. Knowledge of vector databases and embeddings. 4 8 years of overall backend or Python development experience. Proven experience delivering production-ready AI or document-processing solutions.