AI Engineer, Data Science - Information Technology

In this role, you will

• Build and deploy AI Agents and Tools.
• Design and implement reinforcement learning algorithms and multi-agent systems to solve complex business challenges.
• Develop GenAI-based solutions for intelligent data retrieval.
• Collaborate with cross-functional teams—including Data Engineering, Product, and Infrastructure—to ensure secure, scalable, and efficient AI deployments.
• Stay ahead of emerging trends in AI research and apply best practices to deliver innovative, business-aligned solutions.

Responsibilities

• Build and deploy AI Agents for workflow automation tasks.
• Develop and fine-tune LLMs for domain-specific applications.
• Implement reinforcement learning algorithms and multi-agent architectures for intelligent automation.
• Create GenAI-powered solutions for natural language-driven data retrieval and visualization.
• Build robust MLOps pipelines for model deployment and monitoring.
• Collaborate with stakeholders to align AI solutions with business objectives.
• Continuously research and apply state-of-the-art AI techniques to improve system performance.
• All other duties as assigned.

• Bachelor’s degree in computer science, Engineering, or related discipline.
• Project experience in LLM fine-tuning, reinforcement learning, multi-agent systems, and generative AI.
• Strong programming skills in Python.
• Excellent communication and collaboration skills.

• A strong technical foundation in Computer Science, Engineering, or a related field, and 2+ years of experience in AI/ML development.
• Hands-on expertise in fine-tuning LLMs, reinforcement learning, multi-agent systems, and generative AI applications.
• Proficiency in Python and familiarity with modern AI frameworks and cloud platforms (preferably Microsoft Azure).
• Experience operationalizing AI models using MLOps best practices.
• Strong problem-solving skills and the ability to translate complex technical concepts into actionable insights.
• A collaborative mindset and excellent communication skills to work effectively in interdisciplinary teams.