Permanent AI Engineer - - Riverflex

Build cutting-edge AI systems with real business impact 

At Riverflex, we don’t just talk about AI—we build it. As an AI Engineer, you’ll be part of a small, high-impact team developing intelligent solutions that blend modern software engineering with state-of-the-art language models. You’ll help design and deploy scalable AI systems that power next-generation digital products for clients and internal tools. 

We’re looking for someone who deeply understands LLMs and AI engineering, knows how to turn theory into working code, and thrives at the intersection of product, data, and engineering. If you’ve led AI delivery, built GenAI apps, and know how to scale with quality—this role is for you. 

The Role 

As a hands-on engineer, you’ll design and build AI-powered services using LLMs, modern orchestration frameworks, and robust engineering practices. You’ll partner closely with data, product, and software teams to integrate these systems into real-world applications. 

Responsibilities 

• Build scalable GenAI systems using transformer-based models (e.g. GPT, Mistral, Claude) and RAG architectures 

• Design and implement AI pipelines including prompt chaining, embedding retrieval, and context management (MCP protocols) 

• Engineer modular, well-tested Python code for AI agents, APIs, and microservices 

• Use orchestration tools (LangChain, Semantic Kernel, n8n) to implement agent workflows and end-to-end AI experiences 

• Collaborate with product and engineering teams to integrate AI into user-facing applications 

• Partner with data engineering to build feature stores, vector search capabilities, and serve curated data 

• Optimize AI systems for cost, latency, and scalability across Azure infrastructure (e.g., Azure ML, Azure AI Services) 

• Lead on best practices around prompt evaluation, testing, model performance monitoring, and human-in-the-loop feedback 

• Champion responsible AI design, including bias mitigation and data privacy safeguards