About the job

Job Title – Senior AI Engineer
Job Nature – Full-time
Experience – 6 to 8 years

About AMDC AI
The AMDC AI Team enables business divisions to create measurable value through the responsible use of Artificial Intelligence. We act as a transversal capability across the organization, delivering AI solutions, scaling reusable platforms, and ensuring secure, compliant, and sustainable AI adoption.
Our projects span finance, supply chain, manufacturing, logistics, HR, health & safety, and enterprise functions, including document automation, forecasting, computer vision, predictive maintenance, optimization, and LLM-powered assistants.

Role Overview
As a Senior AI Engineer, you will design, build, and operate production-grade AI systems end to end. This role sits at the intersection of machine learning, software engineering, and enterprise delivery.
You will work on a mix of:
LLM-based solutions (API-based models, RAG, agents)
Classical ML / DL systems (forecasting, anomaly detection, computer vision)




Senior AI Engineers are expected to work independently with minimal guidance, own solutions end to end, and contribute to setting technical standards across the AI portfolio.

Key Responsibilities
Design and implement end-to-end AI solutions from problem framing to production
Build and operate LLM-powered systems (prompting, RAG, agents, evaluation, guardrails)
Develop, train, and deploy ML/DL models where appropriate
Translate business problems into robust, measurable AI use cases
Collaborate with data engineers, software engineers, and domain experts
Ensure AI solutions are reliable, scalable, secure, and maintainable
Contribute to AI architecture, best practices, and reusable components
Support monitoring, evaluation, and continuous improvement of AI systems

Required Skills & Experience
6+ years of experience in AI, machine learning, or applied data science roles
Solid programming skills (Python required)
Hands-on experience with ML/DL frameworks and libr

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