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 :

- Strong 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.