AI Engineer

🕒 June 11

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Valtech

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design and build agentic AI systems that facilitate conversational workflows for seller enablement • Develop a chat-based seller assistant that answers seller questions using enterprise data, provides insights on ordering, pricing, and customer behavior, and generates pre-visit one-pagers to guide sales conversations • Integrate large language models such as Claude and ChatGPT with internal data sources and APIs • Apply prompt engineering, context engineering, and agent orchestration techniques to improve reliability and usefulness • Build and evolve the platform using LangChain and LangGraph, initially in Python • Design persistence and data access layers using Mongo or other data stores • Collaborate with product, analytics, and engineering partners to shape technical direction and use cases • Champion modern AI coding assistant tools such as Cursor within the team • Help define standards and best practices as the AI capability scales

🎯 Requirements

• Experience as a full-stack or backend engineer building production systems • Strong foundation in software engineering fundamentals, including APIs, data modeling, and system design • Familiarity with databases, data stores, and data modeling concepts • Hands-on experience working with LLMs via OpenAI, Anthropic, or similar, including prompt design and evaluation • Experience integrating applications with enterprise data sources, including APIs, databases, and analytics platforms • Comfort working in early-stage, ambiguous problem spaces where patterns are still emerging • Ability to communicate clearly with technical and non-technical stakeholders • Willingness to work on a Mac-based development environment • Experience using AI-assisted development tools such as Cursor or Copilot as part of the daily workflow • Advanced English skills • Experience with Agile methodologies and consulting is a plus • Nice-to-have: experience building or experimenting with agentic AI systems or multi-step LLM workflows • Nice-to-have: familiarity with LangChain, LangGraph, or similar orchestration frameworks • Nice-to-have: Python experience; Node.js or TypeScript also valued • Nice-to-have: experience with MongoDB or similar NoSQL data stores • Nice-to-have: experience with enterprise platforms such as Salesforce or Snowflake • Nice-to-have: exposure to Google AI or Google Cloud services

🏖️ Benefits

• Flexibility, with remote and hybrid work options (country-dependent) • Career advancement, with international mobility and professional development programs • Learning and development, with access to cutting-edge tools, training and industry experts • Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts