GenAI/Agentic AI Engineer

DATAECONOMY Inc; Boston (MA); On-site; USD 140,000 - 210,000; Full time

Job summary

DATAECONOMY Inc. is hiring a hands-on GenAI/Agentic AI engineer in Boston to design and deploy production-grade AI applications. You will work with Databricks and AWS services, building scalable pipelines and reusable code while guiding teammates on best practices.

The role requires 5+ years total experience, 2+ years in GenAI on cloud platforms, and a Bachelor’s degree in CS/IS or equivalent. Certifications in AWS or Databricks are a plus.

Qualifications

• Bachelor's degree in computer science or related field.
• 5+ years total experience with 2+ years in GenAI/Agentic AI engineering on cloud platforms.
• AWS and/or Databricks certifications are a plus.

Responsibilities

• Work independently with minimal directions and guide the team.
• Research, learn, and apply new tools and techniques quickly.
• Recognize current infra and propose performance improvements.
• Design and build production-grade GenAI and Agentic AI apps.
• Develop reusable, efficient programs and cost-effective strategies.
• Develop AI pipelines, integrate with Databricks data and AWS services (S3, EC2, API Gateway, Bedrock, Lambda).
• Be comfortable working under tight timelines.

Skills

Python

GenAI libraries

LangChain

LangGraph

Pydantic

Strands

CrewAi

Databricks fundamentals

AWS Bedrock

LLM applications

Education

Bachelor's degree in CS/IS or equivalent

5+ years total experience

2+ years GenAI/Agentic AI engineer

AWS/Databricks certification an asset

Tools

Databricks

AWS Bedrock

AWS EC2

PostgreSQL

S3

API Gateway

Lambda

CI/CD on AWS

Job description

Boston, United States | Posted on 06/19/2026

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 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.
• 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 productiongrade 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 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 architecture best practices.
• Hands-on experience in different domains, like database architecture, artificial intelligence, advanced analytics, big data, etc.

Nice to have SkillSets

• Knowledge of Databricks, Apache Airflow.
• Knowledge of Machine Learning.
• Solid knowledge on CI/CD pipelines in AWS technologies.
• Finance and Compliance domain knowledge.

Requirements

• 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 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 architecture best practices.
• Hands-on experience in different domains, like database architecture, artificial intelligence, advanced analytics, big data, etc.