GenAi Engineer

At Vyn, we're reimagining how work gets done in the deskless world.

Our platform enriches expertly-curated short videos — captured before, during, and after work — with AI-powered automated workflows. We own the world's largest dataset of this kind, enabling field users and customers to make smarter, more efficient decisions about their assets and operations.

Our purpose is to deliver transformative commercial and environmental outcomes, helping global clients across utilities, telecoms, retail and energy improve pricing accuracy, speed up delivery, ensure safety, and maintain compliance.

• Build and maintain production-ready LLM applications using modern orchestration frameworks, with a strong focus on prompt engineering, context design, and guardrail development.

• Develop and optimise inference pipelines to ensure accuracy, reliability, and consistency of outputs that meet enterprise-level standards.

• Implement and run systematic evaluation workflows using both automated tools (e.g., Deep Eval, Langfuse) and human‑in‑the‑loop review to validate model performance and safety.

• Support RAG or retrieval‑based features where required, including working with vector databases and document‑processing pipelines.

• Collaborate with product and engineering teams to define use cases, set KPIs, and deliver AI features aligned with business goals.

• Mentor technical/non‑technical stakeholders on Gen AI capabilities, limitations, and responsible adoption.

• Bachelor’s or Master’s in Computer Science, AI, Data Science, or a related technical field.

• At least solid 2+ years of hands‑on experience building and deploying LLM‑based systems (e.g., fine‑tuning, RAG, prompt engineering).

• Strong proficiency in Python and hands‑on experience with LLM orchestration frameworks (e.g., Lang Chain, CrewAI, Agnos
  
  AI or similar).

• Experience with vector databases (e.g., Pinecone, Weaviate), retrieval optimisation (Open Search, FAISS, Chroma).

• Experience using LLM evaluation tools and methodologies (e.g., Deep Eval, Langfuse or equivalent) to assess model quality, reliability, and performance.

• Strong understanding of responsible AI principles and practical experience in bias detection and model transparency.

• Ability to communicate technical AI concepts clearly to diverse audiences.

We are an equal opportunity employer committed to creating a workplace where everyone feels empowered to bring their full, authentic selves to work.

We celebrate diversity in all forms and make employment decisions based on merit, qualifications, and business needs.

We do not discriminate on the basis of race, religion, national origin, ancestry, gender, gender identity or expression, sexual orientation, age, disability, genetic information, veteran status, or any other protected characteristic.

If you need accommodations at any point in the hiring process, we’re here to support you.