AI / ML Engineer

We are seeking an accomplished Senior AI/ML Engineer to spearhead the design, development, and deployment of intelligent agent-based systems and advanced machine learning solutions. This role combines technical expertise, product-focused innovation, and hands-on engineering expertise to deliver scalable AI capabilities that power next-generation enterprise applications.

The candidate will have responsibilities across the following functions:

Strategy and Execution:

• Contribute to AI/ML Development: Design, build, and optimise AI/ML models and systems that align with product and business objectives.
• Technical Roadmap Execution: Translate defined technical roadmaps into actionable engineering tasks, ensuring timely delivery of high-quality solutions.
• Cross-Functional Collaboration: Work closely with Product, Engineering, and Business teams to implement AI-driven features and support transformation initiatives.
• Continuous Learning and Innovation: Stay updated on emerging AI/ML technologies and apply them to enhance product capabilities and performance.

AI Agent Development:

• Architect and implement intelligent autonomous agents powered by Large Language Models (LLMs).
• Build agent-based systems using frameworks such as LangChain, AutoGPT, CrewAI, and other emerging technologies.
• Design multi-agent collaboration frameworks and task orchestration pipelines for complex workflows.

Integration and Scalability:

• Integrate AI agents with enterprise APIs, databases, and external systems.
• Optimise performance, reliability, and scalability of deployed AI solutions.
• Apply best practices in MLOps, CI/CD, and cloud-native ML workflows.

Innovation and Governance:

• Stay updated on emerging AI/ML trends, including Generative AI, multi-modal architectures, and reinforcement learning.
• Promote adoption of Responsible AI frameworks, ensuring fairness, transparency, and compliance.
• Document workflows, experiments, and outcomes to support organisational knowledge sharing.

Requirements:

• Bachelor's/Master's/PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• 3+ years of experience in AI/ML engineering.
• Strong programming expertise in Python (experience with LangChain, TensorFlow, PyTorch, Hugging Face is a plus).
• Proven track record of deploying ML models and agent-based systems at scale in cloud environments (AWS, Azure, GCP).
• Solid understanding of multi-agent architectures, NLP, reinforcement learning, and workflow orchestration.
• Excellent problem-solving, analytical, and stakeholder management skills.
• Hands-on experience with Generative AI, LLM fine-tuning, and advanced deep learning architectures.
• Knowledge of Responsible AI frameworks and bias mitigation techniques.
• Contributions to open-source AI/ML projects on forecasting and credit scoring preferred.
• Experience in building AI platforms or internal ML tooling for product organisations.