GenAI/Agentic AI Developer

• 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 new concepts to improve performance.
• Design and build production grade and secure GenAI and Agentic AI applications.
• Produce reusable, efficient, 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.

• Good decision-making and problem-solving skills.
• Strong expertise in Python programming with specialization using various GenAI and Agentic libraries (LangChain, LangGraph, Pydantic, Strands, CrewAi 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.
• Good 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.

• Knowledge of Databricks, Apache Airflow.
• Knowledge of Machine Learning.
• Solid knowledge on CI/CD pipelines in AWS technologies.
• Finance and Compliance domain knowledge.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.