AI Engineer (Generative AI & Machine Learning) - Immediate Joiner (Maharashtra)

AI Engineer (Generative AI & Machine Learning) Location: Pune, India (Work From Office – Baner) Experience: 2 – 3 Years Employment Type: Full-Time

We are looking for a highly motivated and innovative AI Engineer to join our growing Artificial Intelligence team. This role sits at the intersection of data science and software engineering, focusing on building, deploying, and scaling modern AI systems. You will work hands-on with cutting-edge technologies such as Retrieval-Augmented Generation (RAG), Agentic Frameworks, and On-Premise Large Language Models (LLMs) to develop robust, enterprise-grade applications. If you enjoy solving complex problems, working in an Agile environment, and building impactful AI solutions, this role is for you.

AI/ML Development & Deployment Develop, test, and deploy scalable machine learning models and AI systems into production following up-to-date engineering practices. Generative AI Implementation Design and build AI solutions using RAG pipelines, on-premise LLMs, and agent-based frameworks. Prompt Engineering & Innovation Develop and refine prompting strategies; collaborate with researchers and engineers to improve GenAI performance and outputs. System Reliability & Optimization Monitor production models, troubleshoot issues, and continuously improve performance, accuracy, and efficiency. Standards & Best Practices Contribute to defining AI development standards, governance, and security practices within the organization. Agile Collaboration Actively participate in Agile/Scrum processes across the full Software Development Life Cycle (SDLC). Cross-functional Communication Clearly communicate technical concepts to internal teams and external stakeholders.

& Skills

Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience 2–3 years of hands-on experience in software development, machine learning, or AI engineering. Core Fundamentals Strong understanding of Data Structures and Algorithms (DSA). Basic knowledge of Computer Vision is a plus. Generative AI Expertise Practical experience with: RAG pipelines On-premise LLMs (e.g., Llama, Mistral) Agentic frameworks (e.g., LangChain, AutoGen, CrewAI) DevOps & Cloud Familiarity with Docker and Kubernetes Exposure to cloud platforms such as AWS, GCP, or Azure