- Built your own AI application, agent, copilot or developer tool.
- Experimented with multiple models and learned where each performs well, and where it doesn't.
- Built RAG solutions using real-world or enterprise data.
- Explored agentic architectures, tool use or multi-agent workflows.
- Worked with frameworks such as Semantic Kernel, LangChain, LangGraph or LlamaIndex.
- Used technologies such as Azure AI Search, Elasticsearch, pgvector, Pinecone, Qdrant or Weaviate.
- Built applications on Azure, AWS or Google Cloud.
- Used tools such as GitHub Copilot, Claude Code or Cursor as part of your engineering workflow.
- Created evaluations or testing approaches for AI outputs.
- Participated in AI hackathons, internal innovation initiatives or open-source communities.
- Seen a newly released AI capability and thought,“I need to try that.”
Specific frameworks will come and go. We're more interested in how you learn, what you've built and what you've discovered along the way.
You are
A builder. You don't just read about AI. You build with it. You're comfortable moving from an idea to a prototype and learning through experimentation.
An explorer. New models, multimodal experiences, agents, reasoning systems and AI development tools genuinely interest you. You're energized by a technology landscape where the playbook is still being written.
An engineer. You care about what happens after the demo. Reliability, maintainability, architecture, security and testing matter to you.
A pragmatic thinker. You understand that AI isn't the answer to every problem. You're interested in finding where it creates genuine value, not adding AI for AI's sake.
A learner. You won't know every new model, framework or technique. That's okay. What matters is being able to say:“I haven't worked with that yet. Let's figure it out.”
What you can expect from us
You'll join an environment where experimentation and continuous learning are part of how we work. You'll collaborate with people across engineering, data, experience and strategy, and have opportunities to apply emerging AI capabilities to meaningful client and business challenges.
Valtech currently recruits across AI-focused roles alongside engineering, cloud, data and digital experience disciplines, reinforcing that AI is being embedded within the broader technology organization rather than existing solely as a standalone specialty.
You'll have room to make, learn and grow, while helping shape what AI-native engineering means at Valtech.