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, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.

GenAI/Agentic AI Engineer - AWS Boston, MA/ Charlotte, NC

Full-time Education and experience Qualification · 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. Roles & Responsibilities · 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. 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 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. Nice to have Skill Sets · Knowledge of Databricks, Apache Airflow. · Knowledge of Machine Learning. · Solid knowledge on CI/CD pipelines in AWS technologies. · Finance and Compliance domain knowledge.

Requirements

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 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.

Benefits

Standard fulltime benefits