AIML Engineer

Key Responsibilities AI Solution Development Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases.Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks.Support model development, evaluation, deployment, and monitoring activities.Data & AI Engineering Build and maintain data pipelines, embeddings pipelines, and vector databases.Prepare, transform, and validate data for AI/ML workloads.Integrate AI services with enterprise applications and APIs.Platform & Operations Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization.Develop reusable components, prompts, workflows, and AI accelerators.Contribute to AI platform enhancements and automation initiatives.Collaboration & Innovation Work with cross-functional teams to define requirements and deliver AI solutions.Evaluate emerging AI technologies, models, and frameworks.Follow AI governance, security, and Responsible AI guidelines.Required Skills Python and software development fundamentalsMachine Learning, NLP, and data analytics conceptsLLMs, Prompt Engineering, RAG, and AI Agent frameworksLangChain, LangGraph, LlamaIndex, or similar frameworksSQL, APIs, and data integrationDocker, Git, CI/CD fundamentalsAWS, Azure, or GCP exposure Key Responsibilities AI Solution Development Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases.Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks.Support model development, evaluation, deployment, and monitoring activities.Data & AI Engineering Build and maintain data pipelines, embeddings pipelines, and vector databases.Prepare, transform, and validate data for AI/ML workloads.Integrate AI services with enterprise applications and APIs.Platform & Operations Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization.Develop reusable components, prompts, workflows, and AI accelerators.Contribute to AI platform enhancements and automation initiatives.Collaboration & Innovation Work with cross-functional teams to define requirements and deliver AI solutions.Evaluate emerging AI technologies, models, and frameworks.Follow AI governance, security, and Responsible AI guidelines.Required Skills Python and software development fundamentalsMachine Learning, NLP, and data analytics conceptsLLMs, Prompt Engineering, RAG, and AI Agent frameworksLangChain, LangGraph, LlamaIndex, or similar frameworksSQL, APIs, and data integrationDocker, Git, CI/CD fundamentalsAWS, Azure, or GCP exposure