Job Description

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
- Strong programming skills (Python required)
- Han

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