W
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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