Fullstack developer - open AI (NCS/Job/ 3685)

Full Stack Engineer (2)About the TeamPMI’s Innovation Lab is responsible for two things: building AI-powered solutions thatmake PMI’s internal processes more efficient and exploring new AI capabilities thatpush the boundaries of what our products can do. The team operates in two tracks - onefocused on AI enablement with measurable business impact, the other Ai experimentsfor short, time-boxed experiments and prototypes.About the RoleYou’ll turn ideas into things people can actually try. The Innovation Lab explores new AIcapabilities and builds AI-powered solutions and both need working software thatpeople can interact with. Your job is to take the team’s research outputs, experimentresults, and solution concepts and build them into functional prototypes, demos, andinterfaces.Speed matters more than polish. You’ll regularly go from a rough idea to a working demoin days, not weeks. You’ll iterate rapidly based on user feedback, build just enough totest an idea properly, and be comfortable throwing work away when an experimentdoesn’t pan out. You’ll also support the AI Enablement track when production solutionsneed frontend work, integration layers, or user-facing interfaces.As the team matures, some of what you prototype will graduate into production toolsinternal platforms, self-serve dashboards, real-time monitoring interfaces, andworkflow applications. This role will grow from pure prototyping into building andmaintaining production-grade internal tooling that the team and its stakeholders rely ondaily.Responsibilities• Build rapid prototypes and proof-of-concepts that turn experiment results and AIresearch into interactive, testable demos that stakeholders and users can try• Create frontend interfaces for production AI solutions review dashboards,configuration screens, monitoring views, approval workflows• Build integration layers between AI systems and existing infrastructure APIs, dataconnectors, authentication flows, third-party service integrations• Develop small-scale testing environments where new features can be validatedwith real users before committing to full development• Instrument prototypes to capture usage data and feedback support uservalidation experiments with measurable data
• Work closely with AI/ML engineers to wrap agent workflows in usable, intuitiveinterfaces• Support the Data Scientist and Quantitative Researcher by building datacollection, visualization, and reporting tools when needed• Build self-serve tools for internal stakeholders dashboards for tracking solutionperformance, configuration interfaces for managing agent behavior, andreporting tools that reduce dependency on the data team• Evolve successful prototypes into production-grade internal applications handlethe scale, reliability, and maintainability concerns that come with tools peopledepend on daily• Build real-time monitoring and observability interfaces that give the team andstakeholders visibility into how AI solutions are performing in productionRequirements• 3–6 years of experience as a full-stack engineer building web applications you’recomfortable owning a feature from database to UI• Strong frontend skills React or a similar modern framework. You can build clean,functional interfaces quickly without needing a designer for every screen.• Solid backend fundamentals APIs, databases, authentication. You can stand upa working backend in a day when a prototype needs one.• Experience integrating third-party services and APIs you’ve connected systemstogether and dealt with the messiness that comes with real-world integrations• Comfort with ambiguity and speed you can take a rough idea and figure out thefastest path to a working demo without waiting for a detailed spec• Willingness to build fast and throw things away you understand that mostprototypes are learning tools, not production features, and you’re okay with that• Enough familiarity with AI/ML concepts to work effectively alongside AI engineersand researchers without needing everything translated for you• Experience with agile methodologies (Scrum, Kanban, or similar)Nice to Have• Experience building interfaces for AI-powered products chat UIs, contentgeneration tools, review or approval workflows, dashboards for AI systemmonitoring
• Familiarity with Python the team’s backend and AI work is heavily Python-based,so being able to read and contribute to Python code is a significant plus• Experience building production-grade internal tools or platforms not justprototypes, but applications that teams rely on daily• Experience with real-time data visualization or monitoring dashboards• Experience with rapid prototyping tools or frameworks that accelerate demo-building• Background in user research or usability testing you know what to watch forwhen someone tries your prototype for the first time• Experience building self-serve analytics or configuration tools for non-technicalusers