Senior AI Software Engineer

• 8+ years in software or ML engineering
• Strong Python experience with modern ML frameworks
• Experience with agentic systems, RAG, or tool-using AI agents
• Deep understanding of LLMs, machine learning, and/or computer vision
• Experience taking ML models or AI systems into production
• Strong knowledge of cloud environments (AWS or GCP)
• Ability to work across systems, from modelling to backend integration
• Someone who enjoys ownership, technical leadership, and solving real-world problems

I'm partnered with a fast-growing AI company building a platform that transforms how field operations are managed through intelligent automation and real-time insights. Their product uses a combination of computer vision, machine learning, and AI agents to analyse on-the-ground activity, predict risks, and drive smarter decision-making for enterprise customers. Just secured $41million in Series B As they scale their AI capabilities, they're looking for a Senior AI Software Engineer to take ownership of building and deploying cutting-edge ML systems into production. You will play a crucial part in leading the end-to-end development of agentic and machine learning solutions from ideation and experimentation to deployment and ongoing optimisation, alongside guiding strategy, influence architecture, and help shape the future of their AI platform. What you'll work on * Leading the end-to-end development of AI/ML solutions from concept to production * Designing and deploying agent-based systems and intelligent workflows * Building scalable ML pipelines and production-grade AI systems * Working across computer vision, NLP, and predictive modelling use cases * Driving architectural decisions and shaping the AI roadmap * Implementing MLOps / AIOps best practices (testing, monitoring, versioning) * Collaborating with product, backend, and data teams to deliver AI-powered features * Exploring and integrating the latest advancements in AI and machine learning ️ Tech Stack - Python, Django, PyTorch, TensorFlow, AWS/GCP, Docker, Kubernetes, MLflow, LLM's, This is a great opportunity to join a high-growth AI company working on genuinely impactful, real-world problems-while shaping the future of applied AI systems and intelligent automation.