Senior AI Product Engineer- Fintech Domain

Role: Senior AI Product EngineerLocation: Europe- RemoteExp: 8+ YearsDomain: FintechRole Overview

We are looking for a Senior AI Product Engineer who lives at the intersection of product development and Artificial Intelligence. Your mission is to take advanced AI capabilities and weave them directly into the fabric of our products, APIs, and customer journeys.

You won't just be "calling an API." You will be designing Agentic workflows, perfecting Prompt Engineering, and ensuring that our AI features feel like a natural extension of the user interface. Working within a cross-functional Squad Model, you will collaborate with Designers and Product Managers to solve real user problems using a hybrid of On-Premises and Cloud-based AI solutions.

Key Responsibilities1. AI Feature Delivery & Integration

• 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, ensuring features like autocomplete, summarization, and intelligent search are intuitive and high-performing.

2. Prompt Engineering & Agentic Workflows

• Craft, test, and optimize complex system prompts to ensure high-quality, safe, and consistent model outputs.
• Build and manage Agentic workflows (using frameworks like 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.

3. Squad Collaboration (The "Product" Side)

• Act as the AI subject matter expert within your Product Squad, helping PMs understand what is technically feasible vs. what is "AI hype."
• Work closely with UX/UI designers to handle AI-specific design challenges (e.g., streaming text latency, "thinking" states, and user feedback loops).
• Participate in agile ceremonies, contributing to grooming, planning, and rapid iteration.

4. Hybrid Implementation

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

Technical Stack & QualificationsLanguages: Mastery of Python and/or TypeScript/JavaScript (React/Node.js).

AI Frameworks: Hands-on experience with LangChain, LlamaIndex, or Haystack.

APIs & Data: Expertise in RESTful APIs, GraphQL, and working with Vector DBs (Pinecone, Weaviate).

Product Sense: A strong portfolio of shipping user-facing applications (not just notebooks).

Cloud/Infra: Familiarity with Docker, Kubernetes, and deploying to AWS/Azure or local GPU environments.

Experience

• 8+ years 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.