AI Engineer

Overview

We are seeking AI Engineers at the Associate level to join client-facing delivery teams, build and deploy AI/ML and GenAI solutions, work on data pipelines, integrations and cloud deployments. You will partner with senior engineers, solution architects and clients to deliver production-ready AI modules and reusable components.

Key Responsibilities:

• Design, build and deploy ML/LLM-based solutions using Python, OpenAI APIs / LangChain / Hugging Face.
• Develop RAG (Retrieval-Augmented Generation) pipelines and AI agents for use-cases.
• Work with data platforms (e.g., Snowflake), SQL, ETL, and feature engineering.
• Deploy to cloud infrastructure (AWS: EC2, Lambda, SageMaker), build CI/CD pipelines, monitoring and alerting.
• Integrate AI outcomes with enterprise systems like Salesforce or ServiceNow via APIs.
• Participate in sprint planning, design reviews, demos and client interactions.
• Document reusable patterns, libraries and contribute to the internal IP catalogue.
  
  

• 6 months to 2 years of hands-on experience in AI/ML, data engineering or related.
• Strong programming skills in Python; experience with ML libraries (scikit-learn, TensorFlow, PyTorch).
• Exposure to OpenAI APIs, LangChain or generative AI frameworks.
• Some experience or familiarity with cloud platforms (AWS / Azure / GCP) and deployment.
• Basic understanding of SQL, data pipelines, ETL workflows.
• Good communication skills, able to work in client-facing teams.
  
  

• Hands-on experience with Snowflake, dbt or other modern data platforms.
• Familiarity with Salesforce or ServiceNow integration.
• Previously worked on AI agent development or production deployment.
• Certifications (AWS Certified ML/Solutions Architect, etc) a plus.
  
  

• You’ve taken AI/data engineering projects from prototype → deployment.
• You bring a delivery mindset, enjoy working with clients, and adapt quickly.
• You document your work well, contribute to reusable assets, and mentor juniors.
  
  

• Join live global client projects, exposure to GenAI & enterprise systems.
• Learning and growth with senior mentors, access to internal IP, certifications.
• Career path from Associate → Senior Associate → Lead Consultant.
• Competitive compensation, growth environment at a scaling delivery centre.
  
  

• Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation.
• Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility.
• Growth: Access professional development opportunities and mentorship from experienced peers.
• Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.