Tech Lead – GenAI
RitualsJobsCloseBy Editorial Insights
Rituals is seeking a hands-on Tech Lead – GenAI Delivery to own the design, build and deployment of GenAI products from Amsterdam, including the customGPT ecosystem and internal knowledge assistants. This role sits at the crossroads of strategy and execution, translating ideas into scalable, secure software and shaping reference architecture for RAG, semantic search, and knowledge ingestion, while establishing robust LLMOps practices and responsible AI guardrails. You will mentor engineers, align with Product Owners and stakeholders, and drive delivery across cross-functional teams. Expect 8+ years in software and AI, deep GenAI and LLMOps expertise, Python and LangChain, cloud AI services; experience with embeddings and tool calling is preferred. To apply, highlight concrete GenAI projects with measurable impact, show leadership and collaboration, and tailor your resume; the process includes contact within 10 working days, an intro call, interviews, a business case, an online assessment and an offer.
Job Description
At Rituals, we are at an exciting moment in our AI journey. As Tech Lead – GenAI Delivery, you will help turn the potential of generative AI into products people can use every day across our business. Based in our Central Head Office in Amsterdam, you will take ownership of the delivery of high-impact GenAI applications, including our customGPT ecosystem, internal knowledge assistants, and domain-specific use cases.
This role sits at the intersection of strategy and execution, where you translate ideas into production-grade software that is scalable, secure, and valuable in practice. You will work closely with Product Owners, business sponsors, AI Engineers, Data Science teams, Staff Engineers, and our wider AI Network across Legal, Security, and Principal Architecture. With a strong hands-on approach, you will help shape the way we design, build, and improve GenAI products across Rituals.
Your focus is on delivery: creating solutions that work well, are used widely, and continue to improve over time. In doing so, you will also help strengthen our engineering standards, mentoring culture, and responsible AI practices as we grow.
In this role, you will:
Lead the technical design, build, and continuous improvement of GenAI products, including the customGPT ecosystem and internal knowledge assistants.
Define and evolve the reference architecture for scalable, secure, and cost-effective GenAI solutions, including RAG and semantic search systems.
Drive technical decisions on knowledge bases, ingestion strategies, chunking, vector databases, orchestration frameworks, and context management.
Establish and scale strong LLMOps practices, including standards for quality, prompt engineering, documentation, monitoring, evaluation, and automated testing.
Mentor AI Engineers and guide external engineering partners to ensure alignment on architecture, delivery quality, and engineering standards.
Partner closely with Product Owners, business sponsors, and cross-functional stakeholders to manage priorities, communicate risks, and implement responsible AI guardrails.
Qualifications
In this role, we are looking for a hands-on technical leader who combines deep GenAI expertise with a strong delivery mindset. You know how to build from the ground up and bring structure to a fast-moving field without losing sight of what creates value for users. You are comfortable moving between whiteboard sessions, architecture decisions, hands-on engineering, and mentoring others. You communicate clearly with both technical and business stakeholders and know how to influence across teams. Most of all, you bring curiosity, pragmatism, and care to the way you build products and work with others.
To be successful in this role, you:
Bring 8+ years of experience in software engineering and AI/ML, with proven experience architecting and building NLP or LLM-driven systems from the ground up.
Have strong hands-on experience with GenAI and LLMOps, including RAG pipelines, vector stores, prompt registries, evaluation loops, monitoring, deployment, and knowledge engineering for unstructured data.
Have expertise in Python, API design, orchestration frameworks such as LangChain, Semantic Kernel, or LlamaIndex, and at least one major cloud platform with managed AI services such as Vertex AI, Azure OpenAI, or AWS Bedrock.
Bring hands-on experience with fine-tuning techniques such as PEFT and LoRA, and understand embeddings, semantic search, agentic workflows, and tool calling.
Demonstrate influential leadership, stakeholder management, and mentoring skills, with the ability to balance legacy realities with future-focused technical solutions.
Additional Information
At Rituals, we are committed to care for everyone and strive to create a diverse workplace where all employees belong and have equal opportunities to succeed. Read more about our commitment here https://careers.rituals.com/en-NL/work-with-heart-and-soul/diversity-and-inclusion/
Location and Working Conditions
At Rituals, we believe in the power of connection: with ourselves, each other, and the world around us. That is why we work 80% from the office (typically four days per week) and 20% from home. Together, we bring our brand philosophy to life by transforming everyday routines into meaningful moments.
Our Benefits
Working at Rituals means being part of a fast-growing, international environment, while staying grounded in what matters: people, wellbeing and meaningful work.
- Competitive salary package
- Bonus opportunity
- Pension plan
- Travel allowance
- Learning and development opportunities (training, internal growth, mentorship)
- Employee discount on Rituals products
- Wellbeing support initiatives
The Next Steps
Our process is designed to be thorough and transparent, so we can both make a confident choice.
- Our recruiter will contact you within 10 working days
- Intro call with the recruiter to discuss your application and mutual fit
- An interview with the business to learn more about the role and assess your experience
- A second interview including a business case
- An online assessment (cognitive ability plus personality questionnaire)
- If the outcome is positive, you’ll receive an offer to join our team