Software Engineer II
Listed on 2026-02-16
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Software Development
Full Stack Developer, Software Engineer, Cloud Engineer - Software, Backend Developer
This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.
Staff Software Engineer (Full Stack), Forward Engineering
As a Staff Software Engineer (Full Stack) on the Forward Engineering team, you will design and build next-generation web applications that power Thomson Reuters' transformation toward AI-driven, agent-centric internal workflows. This role prioritizes strong full-stack engineering skills, experience rapidly developing with AI coding tools, open-mindedness to explore new ways of working, product intuition, and the ability to work closely with AI Engineers and internal users to bring modern agent-oriented frontends and backends to life.
Aboutthe Role
As a Staff Software Engineer (Full Stack), you will partner with cross-functional teammates to translate business problems into intuitive, efficient applications that seamlessly integrate with evolving AI systems. You'll play a key role in shaping how TR builds software in an era where applications must intuitively and effectively connect human and machine users - interacting together through goal-driven, adaptive interfaces.
What You'll Do1. Build and Architect Agent First Applications
Design and develop full‑stack applications grounded in agent‑experience principles, enabling seamless human‑AI collaboration through adaptive UIs, flexible task flows, and data‑rich backend services.
2. Architect Scalable Backend & API Systems
Create modular, cloud‑native APIs and backend systems that integrate cleanly with AI‑driven orchestration patterns, supporting efficient agent context management, state handling, and structured tool invocation.
3. Collaborate on Human‑AI Interaction Surfaces
Partner closely with AI Engineers to design intuitive application surfaces‑across UI, API, and service layers‑that reliably expose agent capabilities to end users and developers.
4. Apply Strong Engineering Fundamentals Across the Stack
Leverage expertise in modern frontend and backend ecosystems (e.g., React/Next.js, Vue/Nuxt, Angular, Node.js, Python/FastAPI, Java/Spring, .NET) while ensuring high standards in API design, state management, testing, CI/CD, observability, and performance.
5. Rapidly Prototype and Iterate With Stakeholders
Build fast, exploratory prototypes that test new human‑AI interaction models, accelerating learning and informing product direction in close collaboration with business partners.
6. Provide Senior Full‑Stack Technical Leadership
Lead architectural decision‑making, translate business requirements into actionable technical designs, mentor engineers, and elevate engineering best practices across performance, experimentation, and modularity.
7. Drive Cross‑Functional Collaboration and Delivery
Work with business units, product managers, AI Engineers, and domain experts to cocreate solutions, shape project priorities and execution plans, and document architectures for knowledge sharing across the organization.
About YouRequired Skills & Experience
- 8+ years of experience as a full‑stack software engineer, including ownership of production web applications and APIs.
- Deep experience with at least one modern frontend and backend stack (frameworks, languages, and cloud infrastructure are flexible).
- Strong ability to rapidly learn new technologies and adapt engineering practices to support evolving AI‑driven application patterns.
- Familiarity with concepts related to AI‑powered systems (e.g., APIs, data flows, model integration), with a willingness to partner closely with AI Engineers.
- Experience designing systems in cloud‑native environments (AWS, Azure, or GCP) and with container/orchestration tools such as Docker or Kubernetes.
- Demonstrated leadership in driving technical initiatives, influencing architecture, and guiding multi‑disciplinary teams.
- Excellent communication and problem‑solving skills; ability to operate in fast‑paced, exploratory environments.
- Experience building prototypes that explore new interaction paradigms between users and AI.
- Knowledge of vector databases, embeddings, semantic search, or agent‑tooling patterns (not required but…
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