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Senior AIML Engineer

Exclusive opportunity

Hybrid

Senior AIML Engineer

Whyflex Human Capital Solutions

Senior AIML Engineer

Skills

DjangoPythonProduct ManagementMicroservicesMachine LearningAIFastAPI

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

7 August 2026

What they need


This is For Long Term Contract.

Location: Bangalore - Hybrid ( 2 days office )

Role & responsibilities

  • We are seeking a Senior AI Engineer to design, develop, and deploy production-grade AI/ML applications using Python, Django, and FastAPI.
  • The role involves building scalable backend systems, integrating Machine Learning models and Large Language Models (LLMs) into enterprise applications, and driving AI solution architecture from design through deployment.
  • The ideal candidate should have strong expertise in Python, Django, FastAPI, AI Engineering, LLM integration, API design, microservices, and cloud-native architectures, along with experience building secure, scalable, and highly available AI platforms.

Preferred candidate profile

  • Translate user stories and functional specifications into logical program designs, modular code, and scalable software solutions within an agile development environment.
  • Design and build production-grade AI/ML applications using Python frameworks such as Django and FastAPI, ensuring reliability, performance, and maintainability.
  • Collaborate with product management, infrastructure, security, and platform teams to convert requirements into secure, flexible, and scalable architectures.
  • Partner with data scientists and ML engineers to integrate machine learning and large language models (LLMs) into broader system architectures.
  • Design, run, and evaluate machine learning experiments, tests, and model validations.
  • Extend and customize ML libraries, frameworks, and internal tooling to support advanced AI use cases.
  • Stay current with AI/ML and LLM advancements, proactively recommending improvements to systems, workflows, and architectures.
  • Mentor and guide engineers by sharing best practices, coding standards, architectural patterns, and organizational methodologies.

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