GenAI/Agentic AI Engineer

Boston, United States | Posted on 06/19/2026 Full-time Education and Experience 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. Responsibilities 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. Skill Sets 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 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. Nice to Have Knowledge of Databricks, Apache Airflow. Knowledge of Machine Learning. Solid knowledge on CI/CD pipelines in AWS technologies. Finance and Compliance domain knowledge. #J-18808-Ljbffr DATAECONOMY Inc