AI Engineer
Role details
Job location
Tech stack
Job description
This is a hands-on role where you'll work end-to-end: from designing and prototyping features to deploying and iterating on them in production. You'll collaborate closely with product managers, designers, and other engineers to ship user-facing functionality that delivers real value to our clients., * 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
At Intent HQ, you'll have many opportunities to improve and learn. If you care about collaboration, technical excellence, and experimentation, this is the right place for you!
Our Tech Stack
You'll work with a variety of modern technologies, including:
Agent Development
- Google ADK, Mastra, MCP (Model Context Protocol), Agent-to-Agent frameworks
Frontend
- TypeScript, React & Redux, Next.js
- Modern styling with Shadcn, Material UI, and Tailwind CSS
Backend & APIs
- Python and Node.js for APIs and agents
- Databricks for data storage and ML platform
Infrastructure
- AWS, Docker, and Kubernetes
Requirements
Do you have experience in UI?, * 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
- Understanding of how large language models (LLMs) work and how to apply them in practice
- Exposure to our tech stack or similar tools
Benefits & conditions
- 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
Barcelona Benefits:
- Flexible working hours and fully remote
- 24 days holiday + public holidays
- Edenred Flexible benefit
- Oliva Mental Health platform and counselling
- Annual team retreats and trips to our London office (Covid permitting)
- Macbook Pro
- Training opportunities
If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.