_{01st April, 2026}

We are hiring a Lead Software Engineer with experience in AI/ML systems to help design and build intelligent, production-ready applications. This role sits at the intersection of software engineering and applied AI, focused on delivering scalable systems that leverage modern AI capabilities within real-world products.

You will take technical ownership of key initiatives, guiding architecture, mentoring engineers, and driving the delivery of AI-powered features from concept through to production.
Responsibilities

• Lead the design and development of scalable, production-grade software systems incorporating AI/ML capabilities
• Architect end-to-end solutions, from data ingestion and model integration through to user-facing features
• Build and optimise systems using modern AI approaches (e.g. LLMs, retrieval systems, intelligent workflows)
• Ensure reliability, observability, and performance of AI-driven systems in production
• Define and enforce engineering best practices, code quality, and system design standards
• Collaborate with product, data, and engineering teams to translate business problems into technical solutions
• Mentor engineers and contribute to technical direction and decision-making
• Drive improvements in system performance, scalability, and maintainability

Requirements

• Strong software engineering background with experience building and operating distributed systems
• Experience delivering AI/ML-powered features in production environments (not just experimentation)
• Proficiency in one or more modern programming languages (e.g. Python, Go, Java, TypeScript)
• Experience designing APIs, microservices, and scalable architectures
• Understanding of modern AI systems (e.g. LLMs, retrieval pipelines, embeddings, evaluation)
• Experience with cloud platforms and infrastructure (AWS, GCP, or similar)
• Strong problem-solving skills and ability to operate with high ownership

Nice to Have

• Experience with agent-based systems or orchestration frameworks
• Familiarity with vector databases, search systems, or RAG architectures
• Experience with AI evaluation, observability, and monitoring in production
• Background in data engineering or ML pipelines
• Experience working in fast-paced, product-led environments

Working Environment

• Product-focused, engineering-led organisation
• Opportunity to build AI systems that are actively used in production
• High ownership, autonomy, and impact
• Flexible working model depending on location

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