GenAI/Agentic AI Engineer

Job Description

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
Rutherford, NJ/ Jersey City, NJ

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.

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.,).

· 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

· 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 full-time benefits

Requirements
• 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.