
5001 - 10000 employees
Founded 1997
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.
🔥 1 minute ago
🇺🇸 United States – Remote
⏰ Full Time
🟢 Junior
🤖 Artificial Intelligence
🚫👨🎓 No degree required
🦅 H1B Visa Sponsor
👻 Ghost score 10%
Where this job comes from
Posted on Valtech's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

5001 - 10000 employees
Founded 1997
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.
• 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 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 ideas, test assumptions and turn experiments into scalable solutions • Build approaches for evaluating and testing AI systems for quality, accuracy, reliability, latency and cost • Use AI-assisted engineering tools across software design, development, testing and maintenance • Apply security, privacy, responsible AI, observability and human oversight practices • Share learning and contribute to Valtech’s evolving AI engineering practices • Collaborate with multidisciplinary teams across engineering, data, experience and strategy
• 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 • Practical experience 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 • Demonstrated habit of exploring emerging technology and turning curiosity into something tangible • Understanding of reliability, maintainability, architecture, security and testing for dependable AI products
• Continuous learning and professional growth opportunities • Opportunities to apply emerging AI capabilities to meaningful client and business challenges • Collaboration across engineering, data, experience and strategy • Global, borderless workplace framework enabling seamless collaboration • Workplace culture fostering creativity, diversity and autonomy
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