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GenAIAgentic AI Engineer

DATAECONOMY

Job Location:

Jersey, NJ - USA

Monthly Salary: Not provided by the employer

Experience Required: 5years

Posted: 10 September 2026 (9 hours ago)

Application Deadline: 8 December 2026

Vacancies: 1 Vacancy

Job Summary

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
Bachelors 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

Required 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.

Required Education:

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 servicesSolid and proven experience in building GenAI and Agentic AI applications using knowledge of GenAI components such as RAG Vector Database Model selection Model evaluations Guardrails etc. Good Understanding o

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