GenAI/Agentic AI Developer

DATAECONOMY Inc; Pune District, Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

DATAECONOMY Inc in Pune/Hyderabad, India, seeks an experienced GenAI/Agentic AI engineer to design and implement robust GenAI solutions. You will lead production-grade development using cloud services and guide the team to meet tight timelines.

The ideal candidate has 5+ years total experience, 2+ years in GenAI/Agentic AI, strong Python expertise, and familiarity with Databricks, AWS Bedrock, EC2 and related tools. Certification is a plus.

Qualifications

• Bachelor's degree in computer science, Information Systems, or equivalent education or work experience.
• 5+ years total experience and 2+ years as GenAI/Agentic AI engineer using cloud technologies.
• Any AWS and/or Databricks certification will be a plus.
• Ability 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 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 cost-effective strategies.
• Develop AI pipelines and integrate with data in Databricks and leverage AWS services including S3, EC2, API Gateway, Bedrock and Lambda.
• Comfortable to work on tight timelines.

Responsibilities

• Design and build production-grade GenAI and Agentic AI applications.
• Develop AI pipelines and integrate with Databricks data and AWS services.
• Produce reusable, efficient, scalable programs and cost-effective strategies.
• Research and apply new tools, propose concepts to improve performance.
• Guard infrastructure knowledge and suggest improvements for performance.
• Work independently and guide the team.

Skills

Python GenAI libraries

GenAI/Agentic AI development

Problem solving

Team leadership

Education

Bachelor's degree in CS or related field

Tools

Databricks

AWS Bedrock

EC2

PostgreSQL

Apache Airflow

CI/CD in AWS

Job description

Hyderabad, Pune, India | Posted on 07/03/2026

· 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.

· Any AWS and/or Databricks certification will be a plus.

· Should be able to workindependently with minimal directions and guide the team.

· Researching, learning, andapplying new tools and techniques rapidly and suggesting new concepts to improve 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.

Requirements

Skill SetsRequired

· 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.

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.