Jr. AI Native Engineer

Whether youre pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
The work we do and the innovation we drive
Our values of share, care and dare
A workplace culture that fosters creativity, diversity and autonomy
AI is rapidly changing what it means to build software, and we want people who are excited to be part of that change.
We are looking for an

AI Native Engineer

who has spent the last few years building strong software engineering foundations while actively exploring whats possible with AI. You are someone who didnt wait for AI to become part of your job description. You started experimenting, building, breaking things and learning.
Maybe youve created a RAG application, automated part of your development workflow, contributed to an AI project, or simply spent countless hours turning new ideas into working prototypes.
If youre an engineer who sees the emergence of AI as an opportunity to fundamentally rethink how software is built, wed like to meet you.
As an

AI Native Engineer

, youll work with multidisciplinary teams to design, prototype and build intelligent digital products and experiences.
Youll 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, youll help us discover whats next.
The AI landscape is moving quickly. 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.
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 youre learning and contribute to the evolving AI engineering practices across Valtech.
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.
~ Built your own

AI application, agent, copilot or developer tool

.
Built RAG solutions using real-world or enterprise data.
Used technologies such as

Azure AI Search, Elasticsearch, pgvector, Pinecone, Qdrant or Weaviate

.
Built applications on

Azure, AWS or Google Cloud

.
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.”
You dont just read about AI. New models, multimodal experiences, agents, reasoning systems and AI development tools genuinely interest you. Reliability, maintainability, architecture, security and testing matter to you.
You understand that AI isnt the answer to every problem. Youre interested in finding where it creates genuine value, not adding AI for AIs sake.
Youll 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.
Youll have room to

make, learn and grow

, while helping shape what AI-native engineering means at Valtech.