Sr. AI Engineer

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.

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.

Requirements:

• 6+ years of experience in AI, machine learning, or applied data science roles.
• Strong 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 optimisation problems.
• Familiarity with responsible AI, explainability, and governance concepts.
• Bachelor's or master's degree in computer science, Engineering (BE / ME - Computer Science, Computer Science or IT, MCA).

Skills

AI, GenAI, LLM, LLMs, ML, Python, applied data science, machine learning