Senior AI/ML Engineer

Job Description

Senior AI/ML Engineer Experience: 5+ years Mode of Engagement: Full-time / Part-time No of Positions: 2 Educational Qualification: B.E./B.Tech/M.E./M.Tech in Computer Science, AI/ML, or related field Industry: IT – AI/ML Services Notice Period: Immediate or 15 days preferred What We Are Looking For: Experience in Chatbot agents, agents which can read data and detect issues/risk/modify data as per input and document data extraction - accurately extract required data from pdf even input pdf is inconsistent Strong experience (5+ years) in backend development using Python (preferred), Java, or Node.js. 2+ years of hands-on experience building LLM-powered applications and LLM agents. Expertise in AI/ML system architecture including Model Context Protocol (MCP) and agent-based reasoning. Proven track record with Docker, Kubernetes, and cloud-based deployment of ML models. Strong collaboration, communication, and problem-solving abilities. Responsibilities: Design, develop, and deploy LLM-based applications and intelligent agent systems. Architect MCP systems to orchestrate interactions between LLMs, APIs, and databases. Containerize AI/ML models and manage deployments using Docker and Kubernetes. Develop and maintain scalable backend systems and data integration. Collaborate with cross-functional teams on technical specifications and product goals. Stay up to date with advancements in LLMs, planning frameworks, and agent tools. Troubleshoot AI models or deployment issues and ensure high availability of systems. Mentor junior engineers and contribute to team-wide knowledge-sharing. Qualifications: Bachelor’s or master's in computer science or relevant technical discipline. 5+ years in backend software development; 2+ years in LLM technologies. Experience with agent-based frameworks like LangChain, LlamaIndex, or AutoGen. Solid foundation in container orchestration and CI/CD using Docker & Kubernetes. Familiarity with MLOps tools like MLflow, Kubeflow, or Seldon Core is a plus. Cloud experience (AWS/GCP/Azure) preferred; Git proficiency required. Added advantages: publications, open-source contributions, or fine-tuning LLMs. Show more Show less