Key Responsibilities

- Lead the end-to-end development of AI‑powered features, from initial prototyping to production deployment. Integrate LLMs and ML models into existing web/mobile applications and backend APIs. Design AI‑first user journeys to ensure features such as autocomplete, summarization, and intelligent search are intuitive and high‑performing.
- Craft, test, and optimize complex system prompts to ensure high‑quality, safe, and consistent model outputs. Build and manage Agentic workflows (using frameworks such as LangChain, CrewAI, or AutoGen) to automate multi‑step business processes. Implement robust error‑handling and fallback logic for non‑deterministic AI responses to maintain a seamless UX.
- Act as the AI subject matter expert within the Product Squad. Help product managers understand technical feasibility versus AI hype. Collaborate with UX/UI designers on AI‑specific design challenges such as streaming text latency, thinking states, and user feedback loops. Participate in agile ceremonies, contributing to grooming, planning,



and rapid iteration.
- Develop applications that can switch seamlessly between Cloud APIs (for speed/innovation) and on‑premise models (for data privacy and cost‑efficiency). Ensure AI features are performant across different hosting environments without sacrificing user experience.

Qualifications

- 8+ years of experience in full‑stack or backend software engineering.
- 3+ years of experience specifically building and shipping AI‑integrated features.
- Proven ability to work in an Agile/Scrum environment within a squad structure.
- Mastery of Python and/or TypeScript/JavaScript (React/Node.js).
- Hands‑on experience with LangChain, LlamaIndex, or Haystack.
- Expertise in RESTful APIs, GraphQL, and vector databases such as Pinecone or Weaviate.
- Familiarity with Docker, Kubernetes, and deployment to AWS/Azure or local GPU environments.

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📌 Senior AI Product Engineer at TechBiz Global GmbH (Barcelona)
🏢 TechBiz Global
📍 Barcelona