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
- Robust programming skills (Python required)
- Hands-on experience with ML/DL frameworks and libraries
- Experience working with API-based LLMs and modern GenAI patterns (e.g. RAG, multi-agents)
- Solid software engineering fundamentals (modularity, testing, version control)
- Experience deploying and operating AI systems in production
- Ability to work independently, structure work, and manage risks proactively

Strong problem-solving and system design skills

Nice to Have

- Experience with enterprise data platforms and ERP integrations (e.g. SAP)
- Exposure to cloud environments and MLOps tooling
- Experience with computer vision, time series, or optimization problems

Familiarity with responsible AI, explainability, and governance concepts

Academic Background and Qualifications

Bachelor’s or master’s degree in computer science, Engineering, (BE / ME – Computer Science, Computer Science or IT , MCA).

Work Location – Hyderabad

Time Zone – Selected candidate is required to work as per:

- India Time (IST) / European Time (CET/GMT) / Americas Time Zone (EST)

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