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.

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.
·         Any AWS and/or Databricks certification will be a plus.
 
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.,).
·         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.
 
Nice to have Skill Sets
·         Knowledge of Databricks, Apache Airflow.
·         Knowledge of Machine Learning.
·         Solid knowledge on CI/CD pipelines in AWS technologies.
·         Finance and Compliance domain knowledge.
 
 

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.

Standard fulltime benefits