GenAI​/Agentic AI Engineer

Boston, United States | Posted on 06/19/2026

Full-time

• 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.

• Work independently with minimal directions and guide the team.
• Research, learn, and apply new tools and techniques rapidly and suggest 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, scalable programs, and cost‑effective strategies.
• Develop AI pipelines and integrate with data in Databricks and leverage AWS services, including S3, EC2, API Gateway, Bedrock, and Lambda.
• Comfortable working 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 (Lang Chain, Lang Graph, Pydantic, Strands, Crew Ai, etc.).
• Familiarity with Databricks fundamentals/architecture and AWS Bedrock, EC2, PostgreSQL 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.