AI Engineers with 3 5 years of relevant experience in Generative AI You ll need to be a hands-on problem-solver at the intersection of software engineering and AI. This role requires deep technical curiosity, experience with modern LLM stacks, and a strong grasp of foundational AI concepts, as well as advanced prompt engineering practices. What you ll do: Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You ll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. What you should have: Core AI & Software Fundamentals Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM s context window. You understand and have practised the fundamentals of crafting effective prompts to guide and steer LLM behaviour. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. What would be great to have: Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What we offer: Competitive salary with performance-linked bonus A competitive salary and performance bonus. Comprehensive health insurance. Flexible working hours and a hybrid work model. A budget for professional development, conferences, and certifications. The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence.
Digital Marketing Executive We re looking for a creative and hands-on digital marketer with 2 5 years of relevant experience. You ll be responsible for executing campaigns, driving engagement across channels, and supporting SEO and content initiatives. The role requires creativity, ownership, and the ability to balance multiple priorities. What you ll do: Plan and execute social media campaigns, primarily on LinkedIn Coordinate and manage email marketing initiatives Brainstorm and develop engaging content ideas, captions, and posts Post and monitor content to ensure brand message consistency Work closely with design and content teams to create engaging creatives and copy Support ongoing SEO efforts including keyword research, on-page and off-page optimisation Assist in day-to-day marketing operations and implementation Monitor campaign performance and suggest optimisations What you should have: 2 5 years of relevant experience in digital marketing Strong copywriting and editing skills Proficiency in social media management tools and LinkedIn marketing Familiarity with video and photo editing apps (Inshot, Canva, etc.) Good understanding of SEO best practices Excellent verbal and written communication skills Ability to multitask, manage time effectively, and meet deadlines Detail-oriented and able to work under pressure Basic knowledge of analytics and reporting tools (a plus) What would be great to have: Creative thinker with an eye for design and brand voice Self-driven, hands-on, and comfortable experimenting and iterating Experience with SEO-driven projects and campaign optimisation