AI Engineer

Build cutting-edge AI systems with real business impact

At Riverflex we dont just talk about AIwe build it. As an AI Engineer youll be part of a small high-impact team developing intelligent solutions that blend modern software engineering with state-of-the-art language models and machine learning techniques. Youll help design and deploy scalable AI systems that power next-generation digital products for clients and internal tools.

Were looking for someone who deeply understands LLMs core ML fundamentals and AI engineering knows how to turn theory into working code and thrives at the intersection of product data and engineering. If youve led AI delivery built GenAI apps and know how to scale with qualitythis role is for you.

The Role

As a hands-on lead engineer youll design and build AI-powered services using LLMs modern orchestration frameworks and robust engineering practices. Youll partner closely with data product and software teams to integrate these systems into real-world applications. Youll also play a key role in growing our AI expertise & capability developing frameworks/accelerators/best practices/etc. and mentoring our AI engineers.

Responsibilities

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

• Design and implement ML/AI pipelines including model training evaluation prompt chaining embedding retrieval and context management (MCP protocols)

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

• Apply ML Ops practices for reproducible training deployment and monitoring of models in production

• 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

• Mentor and guide teammates (internally and at clients) on AI Engineering

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

Must-Haves

• 7 years of software or ML engineering experience including 2 years working on GenAI/LLM-based products

• Strong Python engineering skills (typing testing packaging dependency management)

• Solid understanding of ML and NLP/LLM fundamentalstokenization attention transformers embeddings supervised/unsupervised learning etc.

• Hands-on experience building with LLMs prompt chaining and retrieval-augmented generation (RAG)

• Familiarity with Model Context Protocol (MCP) standards: schema design context injection context window management

• Experience with orchestration and agentic frameworks (LangChain Semantic Kernel GPT agents)

• Experience working in CI/CD environments with ML Ops tooling (e.g. MLflow AzureML Kubeflow)

• Deep understanding of API design microservices and distributed system architecture

• Experience deploying scalable workloads on cloud platforms (Azure preferred) using Docker/Kubernetes

• Proven experience mentoring engineers and leading technical workstreams

Nice-to-Haves

• Experience with vector databases (e.g. Pinecone FAISS Weaviate)

• Familiarity with serverless deployment patterns and infrastructure-as-code (e.g. Terraform CDK)

• Exposure to human-in-the-loop feedback systems and ethical AI design

• Experience in AI governance risk mitigation and AI performance tuning

• Consulting or client-facing delivery experience in data/AI-driven environments

What We Offer

• 25 days off per year plus closure between Christmas and New Years.

• Flexible remote work from abroad options for up to 6 weeks per year.

• Learning & Development budget including full access to Udemy courses.

• 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.

Why join Riverflex

• Be a Pioneer: Contribute to the development of Riverflexs Software Engineering domain.

• Impactful Work: Work on high-profile projects with major clients like IKEA and deliver tangible results.

• Growth Opportunities: Gain exposure to advanced AI tools machine learning and enterprise-level software solutions in a dynamic environment.

• Supportive Culture: Work in a team that values innovation creativity and continuous learning.