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

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