Genai/agentic Ai Developer Pune (India)

Education and experience Qualification Bachelor's degree in computer science, Information Systems, or equivalent education or work experience. Around 5+ years of total experience and 2+ years as GenAI/Agentic AI engineer using cloud technologies. Any AWS and/or Databricks certification will be a plus. Roles & Responsibilities Should be able to work independently with minimal directions and guide the team. Researching, learning, and applying new tools and techniques rapidly and suggesting new concepts to improve performance. Recognize the current application infrastructure and suggest current concepts to improve performance. Design and build production grade and secure GenAI and Agentic AI applications. Produce reusable, productive, and scalable programs, and also cost-effective strategies. Develop AI pipelines and integrate with the data in Databricks and leverage different AWS services, including S3, EC2, API Gateway, Bedrock and Lambda. Comfortable to work on tight timelines, when required. Requirements Skill Sets Required Good decision-making and problem-solving skills. Strong expertise in Python programming with specialization using various GenAI and Agentic libraries (Lang Chain, Lang Graph, Pydantic, Strands, Crew Ai etc.,). Familiarity of Databricks fundamentals/architecture and AWS Bedrock, EC2, Postgress and other key services Solid and proven experience in building GenAI and Agentic AI applications using LLM. Solid knowledge of GenAI components such as RAG, Vector Database, Model selection, Model evaluations, Guardrails etc., Positive Understanding of GenAI/Agentic AI model architecture best practices Hands-on experience in different domains, like database architecture, artificial intelligence, advanced analytics, big data, etc. Nice to have Skill Sets Knowledge of Databricks, Apache Airflow. Knowledge of Machine Learning. Solid knowledge on CI/CD pipelines in AWS technologies. Finance and Compliance domain knowledge. Education and experience Qualification Bachelor's degree in computer science, Information Systems, or equivalent education or work experience. Around 5+ years of total experience and 2+ years as GenAI/Agentic AI engineer using cloud technologies. Any AWS and/or Databricks certification will be a plus. Roles & Responsibilities Should be able to work independently with minimal directions and guide the team. Researching, learning, and applying new tools and techniques rapidly and suggesting new concepts to improve performance. Recognize the current application infrastructure and suggest current concepts to improve performance. Design and build production grade and secure GenAI and Agentic AI applications. Produce reusable, productive, and scalable programs, and also cost-effective strategies. Develop AI pipelines and integrate with the data in Databricks and leverage different AWS services, including S3, EC2, API Gateway, Bedrock and Lambda. Comfortable to work on tight timelines, when required. Requirements Skill Sets Required Good decision-making and problem-solving skills. Strong expertise in Python programming with specialization using various GenAI and Agentic libraries (Lang Chain, Lang Graph, Pydantic, Strands, Crew Ai etc.,). Familiarity of Databricks fundamentals/architecture and AWS Bedrock, EC2, Postgress and other key services Solid and proven experience in building GenAI and Agentic AI applications using LLM. Solid knowledge of GenAI components such as RAG, Vector Database, Model selection, Model evaluations, Guardrails etc., Positive Understanding of GenAI/Agentic AI model architecture best practices Hands-on experience in different domains, like database architecture, artificial intelligence, advanced analytics, big data, etc. Nice to have Skill Sets Knowledge of Databricks, Apache Airflow. Knowledge of Machine Learning. Solid knowledge on CI/CD pipelines in AWS technologies. Finance and Compliance domain knowledge.