Engineer - AI

About the Role:

We are looking for a Engineer – AI with 2-3 years of experience in developing Generative AI applications, scalable data pipelines, and cloud-native AI solutions. The ideal candidate should possess hands-on expertise in Python, SQL, Databricks, Azure, AWS, and modern AI technologies to build intelligent, production-ready applications.

The role requires close collaboration with Data Engineers, AI Architects, Product Teams, and Business Stakeholders to design, develop, and deploy AI-powered solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), cloud platforms, and enterprise data engineering practices.

Key Responsibilities

Generative AI Development

• Design and develop enterprise-grade Generative AI applications using Large Language Models (LLMs).
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines for structured and unstructured data.
• Develop prompt engineering strategies to improve response quality and contextual accuracy.
• Implement vector search, embeddings, and intelligent document retrieval solutions.
• Build agentic AI workflows for multi-step business processes.

Data Engineering & ETL

• Develop scalable ETL pipelines for ingesting, transforming, validating, and processing enterprise data.
• Design and optimize data preprocessing workflows for structured and unstructured datasets.
• Build data ingestion pipelines using REST APIs and web services.
• Ensure data quality, validation, and efficient storage across cloud platforms.
• Optimize pipeline performance and troubleshoot production issues.

Cloud & Platform Engineering

• Develop cloud-native applications using Microsoft Azure and AWS.
• Utilize Databricks for large-scale data processing and analytics.
• Work with Azure Data Factory, Cosmos DB, DynamoDB, and cloud storage services.
• Build reusable components supporting deployment across Azure and AWS environments.

API & Application Development

• Develop RESTful APIs using FastAPI.
• Integrate AI applications with enterprise systems and backend services.
• Design scalable backend services for AI-powered products.
• Build reusable modules supporting AI workflows and enterprise integrations.

Delivery & Collaboration

• Collaborate with cross-functional teams including Data Engineers, AI Architects, QA teams, and Product Owners.
• Participate in Agile development and sprint planning activities.
• Support testing, debugging, deployment, and production releases
• Contribute to solution design and continuous platform improvements.

Roles and Responsibilities

Ideal Candidate Profile

• 2-3 years of experience in Machine Learning, Generative AI development.
• Strong programming expertise in Python and SQL.
• Hands-on experience with Databricks, Azure, and AWS cloud platforms.
• Experience building ETL pipelines and data engineering solutions.
• Good understanding of LLMs, RAG, Prompt Engineering, Vector Databases, and AI workflows.
• Experience developing REST APIs using FastAPI.
• Knowledge of Cosmos DB, DynamoDB, and SQL databases.
• Familiarity with Git/GitHub and Agile development methodologies.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred Qualifications

• Bachelor’s degree in Engineering, Computer Science, Information Technology, or related field.
• Databricks Data Engineer Associate Certification.
• Databricks GenAI Associate Certification.
• Experience with Azure Data Factory (ADF).
• Exposure to Terraform and Infrastructure as Code.
• Experience building cloud-native AI applications.
• Knowledge of Streamlit and AI application development.
• Experience integrating enterprise APIs and cloud services.

Why Join Exponentia.ai?

• Innovate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms
• Shape the Practice: Build a marquee capability from the ground up with full ownership
• Work with the Best: Collaborate with top-tier talent and learn from industry leaders in AI
• Global Exposure: Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore

• Continuous Growth: Access to certifications, tech events, and partner-led innovation labs

• Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership