GenAI/Agentic AI Engineer
DATAECONOMY
- Location
- Onsite (Rutherford, New Jersey)
- Employment
- Full-time
- Level
- Senior Level
Posted 1 week ago
About the Role
DATAECONY is a fast-growing global data and AI consultancy seeking a GenAI/Agentic AI Engineer to design and build production-grade, secure AI applications. The role focuses on developing scalable AI pipelines and leveraging cloud technologies to deliver innovative solutions for enterprise clients.
Skills
Python
GenAI
Agentic AI
LangChain
LangGraph
Pydantic
CrewAi
RAG
Vector Database
AWS Bedrock
Databricks
Machine Learning
Data Engineering
Cloud Technologies
Problem-solving
Benefits
- Standard full-time benefits
Full job details
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
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.,).
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
· 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.
· 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