AI Full-Stack Product Engineer (Mid-Level)

At Riverflex, we believe in creating impactful digital products that are lean, scalable, and human-centered. As an AI Full Stack Product Engineer, you’ll be a core member of our in-house engineering team, helping to develop high-performing software solutions that power business transformation across industries. You’ll work on client-facing products, internal tools, and prototypes that leverage modern web frameworks, cloud platforms, and data-driven architectures. We’re looking for a curious, proactive engineer who thrives in agile environments and brings a user-first mindset to technical challenges. If you’re passionate about writing clean code, mentoring others, and delivering impact through technology, let’s talk. The Role: You’ll play a pivotal role in the design, development, and delivery of digital products across the full stack, from front-end user interfaces to backend systems and cloud services. We’re looking for someone with hands-on experience implementing LLM APIs and developing RAG applications, including work with embeddings and vector search, agentic workflows and MCPs.

Responsibilities

Design and develop scalable web applications using modern front-end and back-end technologies (React, Node.js, Python); Take ownership of the full software development lifecycle, including architecture, development, testing, and deployment; Design and implement agentic workflows and MCP-based integrations to extend LLM capabilities across products; Write clean, well-documented, and testable code following best practices; Collaborate with designers, product managers, and clients to shape features from concept to implementation; Review code, mentor junior engineers, and contribute to improving engineering practices; Integrate third-party APIs and services securely and efficiently; Drive continuous delivery and DevOps improvements (CI/CD, cloud infra-as-code, automated testing); Contribute to technical documentation and team knowledge-sharing

Requirements

7+ years of professional experience in full-stack development; Deep knowledge of modern front-end frameworks (React, Vue) and back-end technologies (Python, Node.js); Hands-on experience building agentic systems and working with MCPs, including tool/function integration, orchestration, and multi-step agent workflows; Proficiency with RESTful APIs, GraphQL, microservices, and databases including relational (PostgreSQL), graph, and vector stores, as well as data platforms such as Databricks; Experience deploying to cloud environments (preferably Azure, AWS or GCP); Strong understanding of software architecture and design patterns; Comfortable working in teams with a strong level of end-to-end independence; Strong communication and collaboration skills

Nice to have

Experience with CI/CD pipelines, containerization (Docker, Kubernetes); Familiarity with AI/ML model integration or data engineering workflows; Interest in mentoring and growing engineering talent; Passion for clean code, testing, and automation

Benefits

25 days off per year plus closure between Christmas and New Year's; Flexible remote work from abroad options for up to 6 weeks per year; Hybrid setup: at least 2 days a week in-office, remaining days flexible/remote; A pension plan; Learning & Development budget, including full access to our learning platform; ClassPass membership to support well-being; Latest tech & tools, including home office budget and professional software subscriptions; Equity share scheme to give long-term team members ownership in Riverflex