Staff AI/ML Software Engineer (GenAI / LLM Products)

We're representing our prestigious client who is building a next-generation, AI-native platform transforming how people access and experience healthcare. This is an opportunity to join a foundational team shaping intelligent systems that directly impact real users at scale.

We're looking for a product-minded AI/ML engineer who thrives in ambiguity, ships fast, and builds systems that matter.

What You'll Do

• Design, build, and deploy end-to-end AI-powered products using modern LLMs and orchestration frameworks

• Own and ship 01 features such as:

• Conversational AI assistants

• Intelligent search and retrieval systems

• Personalized recommendations

• Build scalable backend systems and APIs powering AI-driven user experiences

• Work across the stack — from data ingestion and modeling to real-time inference and product integration

• Partner closely with product, design, and clinical stakeholders to translate complex data into intuitive, high-impact tools

• Drive technical direction and architecture decisions across AI systems

What We're Looking For

Core Requirements

• 8+ years of professional experience in software engineering or ML engineering

• 5+ years building ML systems in production environments

• Proven experience building and shipping LLM or RAG-based systems in production

• Strong proficiency in Python and backend development

• Experience designing and deploying end-to-end ML systems, not just modelling

AI / ML Expertise

• Hands-on experience with:

• LLMs (OpenAI, open-source models, etc.)

• Retrieval-Augmented Generation (RAG)

• Agent frameworks and orchestration tools

• NLP / information retrieval / semantic search

• Document processing, summarization, or knowledge systems

• evaluation frameworks

• prompt iteration

• retrieval optimization

Engineering Strength

• Strong software engineering fundamentals:

• APIs, distributed systems, and backend architecture

• Comfortable owning systems end-to-end in production

What Makes You Stand Out

• You've built AI products used by real users, not just internal tools

• You've taken systems from idea production iteration

• You think in terms of user impact, not just model performance

• You're excited by fast-moving, ambiguous environments and take ownership without waiting for direction

• Experience in healthcare or regulated environments is a plus, but not required

Not a Fit If

• Your experience is primarily in:

• ML infrastructure / platform engineering

• pure data science or analytics roles

• research without production deployment

Why This Role

• Build AI-first products from the ground up, not incremental features

• Work on problems with real human impact

• Join a small, high-calibre team where your work directly shapes the product and company trajectory

• Operate at the intersection of AI innovation and real-world application

Apply now!