Experience:

• Around 5+ years of total experience
• 2+ years as GenAI/Agentic AI engineer using cloud technologies

Qualification:

• Bachelor's degree in computer science, Information Systems, or equivalent education or work experience
• AWS certification (plus)
• Databricks certification (plus)

Responsibilities:

• Work independently with minimal directions and guide the team
• Research, learn, and apply new tools and techniques rapidly
• Suggest new concepts to improve performance
• Recognize current application infrastructure and suggest improvements
• Design and build production grade and secure GenAI and Agentic AI applications
• Produce reusable, efficient, scalable programs and cost-effective strategies
• Develop AI pipelines and integrate with data in Databricks
• Leverage different AWS services including S3, EC2, API Gateway, Bedrock, and Lambda
• Work on tight timelines when required

Additional responsibilities:

• Good decision-making and problem-solving skills

Nice to have:

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

More skills:

GenAI and Agentic libraries (LangChain, LangGraph, Pydantic, Strands, CrewAi), Databricks fundamentals/architecture, AWS Bedrock, AWS EC2, AWS S3, AWS API Gateway, AWS Lambda, Postgress, Guardrails, Database architecture, Artificial intelligence, Advanced analytics, Big data