[Hiring] Junior AI Engineer @Valtech

Role Description

As an AI Native Engineer, you'll work with multidisciplinary teams to design, prototype and build intelligent digital products and experiences. You'll combine strong software engineering fundamentals with modern AI capabilities, working across large language models, agentic systems, retrieval, APIs, cloud platforms and emerging development tools. Importantly, you'll help us discover what's next. The AI landscape is moving quickly. We don't expect you to have all the answers. We expect you to be excited about finding them.

What you'll do

• Design, build and ship AI-native applications and experiences for real-world use cases.
• Build applications using large language models, generative AI APIs and agentic architectures.
• Develop high-quality software using Python, TypeScript/JavaScript or comparable modern languages.
• Work with models and platforms such as Azure OpenAI, OpenAI, Anthropic Claude, Google Gemini and open-source models.
• Build RAG and knowledge-retrieval solutions using embeddings, semantic search, vector databases and enterprise data.
• Experiment with AI agents, tool/function calling, structured outputs, orchestration and multi-step workflows.
• Integrate AI solutions with APIs, databases, existing platforms and enterprise systems.
• Rapidly prototype new ideas, test assumptions and turn promising experiments into scalable solutions.
• Build approaches for evaluating and testing AI systems, considering quality, accuracy, reliability, latency and cost.
• Use AI-assisted engineering tools to explore new ways of designing, developing, testing and maintaining software.
• Apply sound engineering practices around security, privacy, responsible AI, observability and human oversight.
• Share what you're learning and contribute to the evolving AI engineering practices across Valtech.

Qualifications

• 2–4 years of professional software engineering or application development experience.
• Strong programming experience with Python, TypeScript/JavaScript or another modern programming language.
• Solid software engineering fundamentals, including application architecture, APIs, testing, debugging, version control and CI/CD.
• Hands-on experience building with generative AI, whether through client work, production applications, prototypes, internal innovation, hackathons, open-source contributions or substantial personal projects.
• Practical experience working with LLMs and model APIs, including prompting, context management, structured outputs and model selection.
• Familiarity with RAG, embeddings, semantic search or vector databases.
• Exposure to agents, function/tool calling or AI workflow orchestration.
• Experience connecting applications to APIs, data sources, databases and cloud services.
• An understanding that building a great AI demo and building a dependable AI product are two very different challenges.
• A demonstrated habit of exploring emerging technology and turning your curiosity into something tangible.

We'd love it if you've...

• 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.”

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.