Senior Applied AI Solutions Engineer

• 5+ years' experience in software engineering, with hands-on delivery of production-grade solutions.
• Strong expertise in Python, data processing, and microservices.
• Experience with large-scale distributed systems and LLM applications.
• A blend of hands-on engineering and leadership skills - able to both build and guide.
• Excellent communicator with the ability to engage both technical and non-technical audiences.
• A collaborative, innovative mindset with a passion for applied AI.

• Salary up to £135,000.
• EMI share options - benefit directly from the company's growth.
• 25 days holiday + bank holidays.
• Aviva private medical insurance.
• Medicash wellness plan.
• Life policy and Employee Assistance Programme.
• Pension scheme and access to a discounts platform.
• Career coach and professional development support.

Are you passionate about building real-world AI applications that deliver measurable business impact? We're working with a fast-growing applied AI consultancy, backed by alliances with OpenAI, NVIDIA, and other global leaders, and they're seeking a Senior Applied AI Solutions Engineer to join their growing London-based team. Why this role? * Build and deploy enterprise-grade AI solutions used by some of the world's largest organisations. * Work hands-on with large language models (LLMs), microservices, and distributed systems. * Hybrid working: 3 days a week in London, with flexibility the rest of the time. * Salary up to £135,000 plus equity through EMIs - be part of the company's success story. * Join a mission-driven business with a bold goal: making the 3-day working week a reality. What you'll be doing: * Designing, building, and deploying AI-powered applications, including intelligent agents built around LLMs. * Owning solutions end-to-end: from scoping and design to coding, testing, and deployment. * Leading small project teams, providing technical direction and mentorship. * Reviewing code and setting high standards of technical excellence across multiple projects. * Working directly with senior clients, explaining complex AI concepts and demonstrating solutions. * Contributing to R&D efforts and reusable code assets, advancing the company's AI capabilities. * Staying at the forefront of AI innovation, applying new techniques to real-world problems.