Jr. AI/ML Engineer

As an AI/ML Engineer at the company, your role will involve: - Developing and maintaining AI-powered applications using Python and FastAPI - Designing and implementing LangChain and LangGraph-based LLM workflows - Building and managing Vector Database integrations for embeddings and semantic search - Developing Retrieval-Augmented Generation (RAG) pipelines for intelligent applications - Creating reusable backend APIs and AI orchestration services - Writing clean, maintainable, and production-ready code - Collaborating with engineering teams on AI solution architecture and implementation - Participating in code reviews, debugging, testing, and performance optimization - Integrating AI services into enterprise software applications - Contributing to prompt engineering, embedding optimization, and workflow improvements Qualifications required for this role include: - 13 years of hands-on software development experience - Strong proficiency in Python programming - Experience building REST APIs using FastAPI - Hands-on experience with LangChain and LangGraph - Understanding of Large Language Models (LLMs) and prompt engineering - Experience working with Vector Databases and embedding-based search - Knowledge of Retrieval-Augmented Generation (RAG) architectures - Familiarity with Git and CI/CD practices - Strong debugging, analytical, and problem-solving skills - Understanding of software engineering best practices and clean coding principles The company is looking for candidates with practical implementation experience in building AI-powered applications, particularly those working on GenAI, LLM, Agentic AI, or RAG-based solutions. Candidates should have a Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field, along with 13 years of professional development experience. Strong coding, debugging, and problem-solving capabilities are essential for this role. If you have a passion for building real-world AI products using LLMs, RAG, Agentic Workflows, and modern AI frameworks, this opportunity may be the right fit for you. As an AI/ML Engineer at the company, your role will involve: - Developing and maintaining AI-powered applications using Python and FastAPI - Designing and implementing LangChain and LangGraph-based LLM workflows - Building and managing Vector Database integrations for embeddings and semantic search - Developing Retrieval-Augmented Generation (RAG) pipelines for intelligent applications - Creating reusable backend APIs and AI orchestration services - Writing clean, maintainable, and production-ready code - Collaborating with engineering teams on AI solution architecture and implementation - Participating in code reviews, debugging, testing, and performance optimization - Integrating AI services into enterprise software applications - Contributing to prompt engineering, embedding optimization, and workflow improvements Qualifications required for this role include: - 13 years of hands-on software development experience - Strong proficiency in Python programming - Experience building REST APIs using FastAPI - Hands-on experience with LangChain and LangGraph - Understanding of Large Language Models (LLMs) and prompt engineering - Experience working with Vector Databases and embedding-based search - Knowledge of Retrieval-Augmented Generation (RAG) architectures - Familiarity with Git and CI/CD practices - Strong debugging, analytical, and problem-solving skills - Understanding of software engineering best practices and clean coding principles The company is looking for candidates with practical implementation experience in building AI-powered applications, particularly those working on GenAI, LLM, Agentic AI, or RAG-based solutions. Candidates should have a Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field, along with 13 years of professional development experience. Strong coding, debugging, and problem-solving capabilities are essential for this role. If you have a passion for building real-world AI products using LLMs, RAG, Agentic Workflows, and modern AI frameworks, this opportunity may be the right fit for you.