GenAI​/Agentic AI Engineer

DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings. We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, Dev Ops and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, Data Robot, Global IDs, tableau, Mule Soft and Talend.

Boston, MA / Charlotte, NC

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.

• 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 (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.
• 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.

Standard fulltime benefits.