Staff AI/ML Software Engineer

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

We're represeniting our prestigious clinet 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.

• 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
• Develop production-grade RAG pipelines, agent-based workflows, and evaluation systems
• 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

• 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 modeling

• Hands-on experience with:
• LLMs (OpenAI, open-source models, etc.)
• Retrieval-Augmented Generation (RAG)
• Agent frameworks and orchestration tools
• Background in:
• NLP / information retrieval / semantic search
• Document processing, summarization, or knowledge systems
• Experience improving system performance through:
• evaluation frameworks
• prompt iteration
• retrieval optimization

• Strong software engineering fundamentals:
• APIs, distributed systems, and backend architecture
• Experience building user-facing AI products, not just pipelines
• Comfortable owning systems end-to-end in production

• 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

• Your experience is primarily in:
• ML infrastructure / platform engineering
• pure data science or analytics roles
• research without production deployment
• You haven't worked with modern LLM-based systems in production

• Build AI-first products from the ground up, not incremental features
• Work on problems with real human impact
• Join a small, high-caliber team where your work directly shapes the product and company trajectory
• Operate at the intersection of AI innovation and real-world application

Apply now!