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Forward Deployed Software Engineer

hace 2 semanas


Barcelona, España deepset GmbH A tiempo completo

TL;DR We're hiring a Forward Deployed Full-Stack Engineer to work directly with our strategic customers. By embedding with their teams, you will design, build, and ship production-ready features, integrations, and workflows on top of deepset's AI Platform. You'll blend a product-engineering mindset with customer-facing technical depth: crafting intuitive UIs, reliable backend services, and integration patterns that accelerate AI adoption. If you love solving complex product challenges hands-on and want to see your work deliver immediate, real-world impact, this role is for you. Requirements 7+ years of professional experience in Full-Stack Engineering, Solutions Engineering, or Forward-Deployed/Customer-Facing Engineering roles. Strong proficiency in JavaScript/TypeScript, React, and backend development in Python. Solid mastery of:REST APIs, data modeling, and SQL databases CI/CD pipelines, testing strategies, and production-grade coding standards Containerized environments (e.g., Docker; Kubernetes familiarity is a plus but not a core requirement) Evidence of shipping customer-facing features and operating production systems. Experience integrating with enterprise systems (authentication, APIs, security/compliance requirements). Excellent communicator who is comfortable working with customer executives and engineering teams under time pressure. Must be a resident of the European Union with an EU passport. Benefits Remote-first setup with flexible hours & tech of your choice 30 days vacation + extra days for family sick leave Competitive salary & stock options for every team member Monthly sports & mental health support allowance with Oliva Annual learning & development budget Monthly team socials & in-person meetups Dog-friendly Berlin HQ Why deepset At deepset, we're on a mission to make custom AI solutions accessible to every organization. With Haystack, thousands of developers build advanced LLM applications every day, while our enterprise-ready AI Platform helps companies turn large language models into business value. We're remote-first, flexible, and built on a culture of trust and ownership. You'll collaborate with top-tier tech talent, tackle meaningful challenges, and help transform complex AI into solutions that are simple, powerful, and ready for the real world. Nice to have German language skills What you will do Design & LandOwn technical outcomes from POC → production: frontend workflows, backend services, customer-specific integrations, and feature extensions. Build intuitive React/TypeScript UIs and robust backend logic in Python that enable enterprises to orchestrate large-scale LLM applications. Produce reference architectures, reusable UI components, and integration templates; upstream productizable improvements to Product & Engineering. Unblock enterprise environments by defining API requirements, designing data flows, aligning on authentication models (e.g., OIDC/SAML), and integrating with customer systems. Drive clarity from ambiguity: translate customer needs into well-scoped product solutions and deliver fast time-to-first-value. Run & HardenDefine success metrics with customers: usability expectations, performance constraints, data consistency guarantees, and UX quality standards. Implement testing, monitoring, and lightweight observability for customer-facing workflows you build. Support planned releases, customer rollout coordination, and backward-compatibility validation to ensure smooth upgrades. Partner & EnableWork closely with users, product managers, designers, and engineers to deeply understand customer workflows and shape intuitive end-to-end experiences. Train customer teams on the features you deliver—UI concepts, APIs, customization hooks, and troubleshooting paths. Prioritize "productization opportunities" with Product/Engineering based on real-world usage and field signal. Document clearly: setup guides, UX flows, API examples, best practices, and "golden path" usage patterns. Handle urgent customer-facing issues during high-priority deployments or escalations