Role Description AI Engineer - Job Title: AI Engineer Experience: 3-7 Years Location: Hybrid/Onsite Domain: Healthcare (Preferred) Job Summary We are looking for an innovative AI Engineer to design, develop, and deploy AI-powered applications and machine learning solutions. The ideal candidate should have hands-on experience with Generative AI, Large Language Models (LLMs), machine learning frameworks, and cloud-based AI services to create scalable and impactful business solutions.

Key Responsibilities Design, build, and deploy AI/ML and Generative AI solutions. Develop and optimize AI applications using LLMs, NLP, and machine learning techniques. Build AI-powered chatbots, assistants, recommendation systems, and intelligent automation solutions.

Implement

Retrieval-Augmented Generation (RAG) pipelines and vector database integrations. Develop and maintain APIs and microservices for AI applications. Collaborate with business stakeholders, data scientists, and engineering teams to deliver AI solutions. Monitor, evaluate, and improve model performance, accuracy, and scalability. Ensure AI solutions adhere to security, compliance, and Responsible AI practices. Participate in model deployment and MLOps activities.





Required Skills Robust programming experience in Python. Hands-on experience with Machine Learning, Deep Learning, and Generative AI.

Experience with OpenAI, Azure OpenAI, AWS Bedrock, or similar AI platforms. Knowledge of LangChain, LlamaIndex, Prompt Engineering, and AI Agents.

Experience with TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks. Familiarity with vector databases such as Pinecone, ChromaDB, FAISS, or Azure AI Search. Understanding of REST APIs, Docker, Kubernetes, and cloud platforms (Azure/AWS/GCP). Knowledge of MLOps concepts and CI/CD practices.

Preferred Qualifications Experience in Healthcare or Health Insurance domain. Exposure to AI governance, model monitoring, and Responsible AI principles. Azure AI Engineer Associate or equivalent AI/ML certification.

Experience working in Agile/Scrum environments.

Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Skills Agentic AI, Azure AI Search, Azure OpenAI, RAG, Generative AI, Google Cloud Platform, Agile, Microsoft Azure, MLOps, Python

📌 ML Engineer I (Bengaluru)
🏢 UST
📍 Bengaluru