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GenAI/Agentic AI Engineer

DATAECONOMY
Posted an hour ago, valid for 21 days
Location

Rutherford, NJ, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • DATAECONOMY is seeking a GenAI/AgenticAI Engineer with a Bachelor's degree in computer science or equivalent experience.
  • The position requires around 5+ years of total experience and at least 2+ years specifically as a GenAI/Agentic AI engineer using cloud technologies.
  • The successful candidate will be responsible for designing and building secure GenAI and Agentic AI applications and developing AI pipelines using AWS services.
  • Strong expertise in Python programming and familiarity with various GenAI libraries are essential for this role.
  • The position offers standard full-time benefits, but the salary is not specified in the 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/AgenticAI Engineer 
Rutherford, NJ/ Jersey City, NJ
Full-time
 
Education and experienceQualification 
·         Bachelor's degree in computer science, Information Systems, orequivalent 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 workindependently with minimal directions and guide the team.
·         Researching, learning, andapplying new tools and techniques rapidly and suggesting new concepts toimprove performance. 
·         Recognize the currentapplication infrastructure and suggest new concepts to improve performance.
·         Design and build productiongrade and secure GenAI and Agentic AI applications.
·         Produce reusable, efficient,and scalable programs, and also cost-effective strategies.
·         Develop AI pipelines andintegrate with the data in Databricks and leverage different AWS services,including S3, EC2, API Gateway, Bedrock and Lambda.
·         Comfortable to work on tighttimelines, when required.
 
Skill Sets Required
·         Good decision-making and problem-solving skills.
·         Strong expertise in Python programming with specializationusing various GenAI and Agentic libraries (LangChain, LangGraph, Pydantic,Strands, CrewAi etc.,).
·         Solid and proven experience in building GenAI and AgenticAI applications using LLM.
·         Solid knowledge of GenAI components such as RAG, VectorDatabase, Model selection, Model evaluations, Guardrails etc.,
·         Good Understanding of GenAI/Agentic AI model architecturebest practices
·         Hands-on experience in different domains, like databasearchitecture, artificial intelligence, advanced analytics, big data, etc.
 
Nice to have SkillSets
·         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 specializationusing various GenAI and Agentic libraries (LangChain, LangGraph, Pydantic,Strands, CrewAi etc.,).
·         Familiarity of Databricks fundamentals/architectureand AWS Bedrock, EC2, Postgress and other key services
·         Solid and proven experience in building GenAI and AgenticAI applications using LLM.
·         Solid knowledge of GenAI components such as RAG, VectorDatabase, Model selection, Model evaluations, Guardrails etc.,
·         Good Understanding of GenAI/Agentic AI model architecturebest practices
·         Hands-on experience in different domains, like databasearchitecture, artificial intelligence, advanced analytics, big data, etc.

Benefits

Standard full-time benefits




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