AI Product Engineer

Juno Search Partners is launching its new Innovation & Product Development team, and they are seeking an AI Product Engineer to lead the engineering efforts for AI-enabled commercial data products in biopharma. This role involves hands-on engineering, AI integration, and collaboration with product management to build and launch innovative products from the ground up.

Responsibilities:

• Serve as the primary builder for early product releases from architecture to code
• Design scalable backend services, APIs, data pipelines, and integration frameworks
• Build front-end and internal tools using modern frameworks (e.g., React, Next.js)
• Establish engineering best practices, testing frameworks, and DevOps workflows
• Integrate applied AI/ML/NLP components into product workflows in collaboration with the Product Manager and the Applied AI Lead
• Support MLOps processes for model deployment, monitoring, and refinement
• Help design data backbone components and integration points with external sources and internal systems
• Translate product concepts and prototypes into production-ready software
• Partner with the Product Manager to define requirements, technical scope, and MVP architecture
• Build early versions quickly, iterate fast, and refine based on user feedback
• Work closely with delivery teams for Dev-to-Ops transitions
• Provide technical guidance for roadmap planning and prioritization
• Document systems and build internal enablement resources as products scale
• As the team grows, help hire and mentor engineers (onshore/offshore)
• Play a key role in defining the engineering culture, stack choices, and long-term architecture

Requirements:

• 5 years of professional engineering experience
• Strong full-stack capabilities (backend + frontend)
• Expertise with: Python, Node.js, TypeScript
• React/Next.js
• Modern cloud platforms (Azure, Snowflake, Databricks)
• APIs, event-driven services, data pipelines
• CI/CD, infrastructure-as-code, secure-by-design patterns
• Experience integrating ML/AI/NLP/LLM components into production systems
• LLM APIs, vector search / embeddings, model orchestration, human-in-the-loop workflows
• Ability to architect and build systems end-to-end
• Excited about being the first engineer, not just a contributor, but a builder of the entire product foundation
• Thrives in ambiguity and rapidly evolving environments
• Bias toward action, pragmatism, and iterative delivery
• Works effectively within a small, focused team with a high level of ownership