Lead GenAI & Agentic AI platform strategy for multiple clients at Capgemini Engineering. Driving adoption, managing operations, and advising on technological architecture.
About the role
- AI Engineer at Intent HQ building intelligent systems to help clients understand and leverage their data. Collaborating with teams to develop reliable software solutions.
Responsibilities
- Build reliable, scalable agentic software systems that solve real client problems
- Develop and maintain data pipelines, CI/CD workflows, and deployment processes
- Work end-to-end on features, from initial design and prototyping through to production deployment and ongoing iteration
- Collaborate with designers and product managers to ship intuitive, user-facing functionality
- Apply engineering best practices to ensure performance, consistency, and maintainability across all systems
- Participate in code reviews, technical discussions, and knowledge sharing with the team
Requirements
- Solid software engineering fundamentals: You understand the full SDLC, testing practices, and modern frameworks
- Production deployment experience: You can take code from development to production using cloud environments, infrastructure, and CI/CD pipelines
- Familiarity with agentic systems: You've worked with or are excited to learn about chat interfaces, tool use, workflows, evaluations, agent-to-agent communication, and protocols like MCP
- Product mindset: You focus on outcomes over outputs, iterate quickly, and always think about delivering value
- Curiosity and adaptability: The AI Engineer role is still evolving, and you're excited to grow with it
- Experience with data pipelines and/or data engineering (nice to have)
- Understanding of how large language models (LLMs) work and how to apply them in practice (nice to have)
- Exposure to our tech stack or similar tools (nice to have)
Benefits
- Flexible working
- Free breakfast daily (when in the office)
- 26 days holiday (increasing with service)
- Pension scheme
- Income Protection with Employee Assistance Programme
- Life Assurance
- Oliva Mental Health platform and counselling
- Higher than statutory maternity/paternity benefits
- Work socials
- Wellbeing programme
- Cycle to work scheme
- Training opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Full Stack Engineer developing applications at Blue Origin focused on reusable space vehicles. Leveraging TypeScript, React, and AI in software development for innovative space solutions.
ROS Architect optimizing ROS architectures and software for Physical AI systems at ST Engineering. Engaging in cutting - edge robotics applications and collaborative hardware engineering efforts.
Entry - level AI Engineer at Bisnow using AI to enhance workflows and tools across various teams. Collaborating with senior leadership on practical AI applications for improved efficiency.
AI Engineer building NLP solutions for legal technology. Extracting meaning from legal documents and turning specifications into working solutions.
Senior AI Engineer leveraging Generative AI and Machine Learning in a hybrid position. Collaborating on solutions that enhance logistics and data - driven processes for a technology - driven enterprise.
AI Engineer responsible for designing, building, and deploying machine learning models. Working at Qualysoft, delivering AI solutions with robust, scalable, and optimized performance.
Senior AI Engineer at XTEL driving innovation using Python and GenAI. Collaborate in a flexible remote - hybrid environment with an international team.
Senior Software Engineer with AI expertise needed for a B2B commerce platform. Design and implement solutions using AI and machine learning to innovate logistics and payments.
AI Engineer at Clario designing AI - powered applications for clinical research. Collaborating with cross - functional teams to build innovative software solutions.