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CFO | Passionate about Finance, Legal & People
Descriptionof the role: Senior Generative AI Engineer
We are seeking aSenior generative AI Engineerto join our growing team as we integrate cutting-edge AI capabilities into our SaaS product. In this role, you will play a key part in embedding AI assistants powered by LLM technologies into our platform, enabling smarter user workflows and enhancing user experience.
As our AI integration expert, you’ll be responsible for connecting the dots between our backend systems, frontend interfaces, and the external AI provider. You’ll help shape the way our product leverages AI, ensuring that the assistants seamlessly interacts with both structured and unstructured data to provide valuable insights and support.
This is a highly collaborative role where you’ll work alongside engineers, business stakeholders, and DevOps to ensure the successful integration of AI into our product, while keeping performance, security, and user experience top of mind.
Responsibilities
* AI Integration & Orchestration: Own the LLM-powered AI assistants that are integrated into our SaaS product. Work closely with backend/frontend developers to ensure seamless functionality, calling appropriate APIs, managing data flow, and optimizing performance.
* Prompting & Context Management: Understand and craft prompt templates to feed data/context effectively into the AI, ensuring behavior aligns with business goals. Work on context injection strategies for applications like RAG, and recognize the impact of different approaches on output. Understand how to adapt these when switching to other LLMs. Support our customers to power our AI assistants through their approved LLM provider.
* Collaboration & Communication: Work in a cross-functional team of engineers, business representatives, and DevOps experts. Collaborate closely with backend and frontend teams to integrate AI features.
* Security Awareness: Be mindful of multitenant security, ensuring that the AI assistant only has access to data it is authorized to interact with (following existing RBAC systems).
* Continuous Improvement & Learning: Stay up to date with emerging trends in AI, particularly in the LLM domain, to advise on potential improvements to our product.
Required Skills
* Strong knowledge ofLLM technologies,prompt engineering, andAPI integration.
* Hands-on experience withLangChain, Langraph, Langsmithor similarLLM integration frameworks.
* Experience working withbackend systems, preferably in a SaaS context, and understanding ofSQL databases.
* Ability to collaborate with cross-functional teams and balance business goals with technical execution.
* Understanding ofmultitenant environments,RBAC, and how they apply to AI integration.
* DevOps familiarity(e.g., CI/CD, pipelines, deployment best practices) but not a core requirement.
Desirable Skills
* Experience withAI governance
* Experience withRAG frameworksandcontextual AI assistants.
* Familiarity withdata privacy,anonymization, andsecurity considerationsin AI.
* Strong problem-solving mindset with auser-centric approach(understanding how AI impacts user workflows and performance)
Seniority Level
Senior with an option for growth into aTech Leadrole as the team expands.
What we offer
Lots of autonomyand the opportunity to significantly contribute to a fast-growing tech company
Flexible working hours and locationalthough we love to connect in person as least 2 days per week
A young and open company culturewith a flexible and remote-friendly work environment
Competitive salary+ extras like eco cheques, hospitalization insurance, meal vouchers, etc.
Personal development budgetto support your growth
The right toolsto do your job (Mac or Dell — your choice!)
Cookies, candy & fruitin the office — because energy matters
Flexible mobility budget– use it for commuting, a leased car, or even paying off your home or rent
If you’re interested, please send your CV and cover letter topeople@yields.io. We only accept applications via email. The role will be filled as soon as we find the right candidate.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Software Development
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