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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Postaladdress - **Location:** UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Python (Programming Language), Natural Language Processing, Software Product Management, Software Architecture, Tensorflow, Software Engineering, Pytorch, Large Language Models, Prompt Engineering, Containerization, Integration Tests, Information Technology, Machine Learning Operations, Software Version Control - **Published:** September 5, 2026 - **Apply:** https://startup.jobs/senior-ai-engineer-causaly-com-8136312 ## About the Role · A master's degree or above in Computer Science, Electrical Engineering or a related field. · 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. · Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. · A solid understanding of LLMs for natural language processing applications, including topics such as embeddings, prompt engineering and fine-tuning. · Strong software engineering foundations such as version control, unit/integration testing, CI/CD, containerization plus a mindset of building for reliability and scale. · Experience working in product-focused teams, collaborating with designers, engineers, and PMs, to scope and ship AI features iteratively · Ability to reason about system behavior end-to-end, including model performance, latency, and observability, and how these impact user experience. · Clear, structured communicator, comfortable documenting and defending architectural decisions and engaging in thoughtful technical debate. Not required, but it's a plus if you also have: · Experience with MLOps/LLMOps frameworks and best practices · A PhD in Computer Science, Electrical Engineering or a related field. · A background or work experience in life-sciences, health-tech, or other data-intensive domains ## Description · Design and implement ML/AI solutions end-to-end, from the idea and data exploration phase to deployment and monitoring, balancing cutting-edge techniques with pragmatism to deliver measurable impact. · Apply strong software engineering principles, such as modularity, testing, code reviews, CI/CD and observability, to ensure AI systems are reliable, maintainable, production-ready and can be readily adapted to future developments. · Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM-based solutions, and agentic solutions to balance trade-offs between speed, cost, complexity, interpretability, and performance. · Collaborate closely with product, design, and other engineering teams to scope work, align on success metrics, and incrementally ship improvements in user-facing features powered by AI. · Document system architectures and decision rationale early and clearly, enabling alignment across teams and accelerating onboarding and iteration. · Champion model and data quality, including dataset versioning, robust evaluation, fairness/bias assessment, and real-world performance tracking. · Mentor junior AI engineers and cross-functional teammates, sharing best practices in modelling, coding, maintaining and integrating product features, and helping grow a high-trust, high-performance team culture. · Stay up-to-date with emerging research and tools, distilling key insights and bringing back relevant innovations to elevate team capabilities and product opportunities. · Contribute to a culture of knowledge sharing, through company-wide Slack channels, Show and Tell presentations and technical deep-dives. ## Related Videos - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Containers and Kubernetes made easy: Deep dive into Podman Desktop and new AI capabilities](https://www.wearedevelopers.com/videos/1133-containers-and-kubernetes-made-easy-deep-dive-into-podman-desktop-and-new-ai-capabilities) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [Turning Container security up to 11 with Capabilities](https://www.wearedevelopers.com/videos/718-turning-container-security-up-to-11-with-capabilities) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)