Staff Software Engineer – AI
Thomson Reuters1 day ago
Base Salary
$127k - $273k/yr
Responsibilities
- Architect, develop, and deliver production backend and platform services using C#/.NET, PostgreSQL, AWS, microservices, and distributed-system patterns.
- Build production AI/ML capabilities with Python, including LLM integration, AI agents, orchestration, retrieval, and multi-step workflows.
- Lead hands-on AI engineering initiatives involving agent workflows, retrieval systems, and AI-assisted document processing.
- Develop routing, tool calling, MCP servers, safety controls, guardrails, evaluation, resilient error handling, and orchestration around third-party LLMs.
- Design reliable, scalable, high-throughput distributed systems and AI workloads with caching, queuing, rate limiting, model failover, observability, resilience, and cost/performance optimization.
- Build document search, vector-store, embedding, semantic-search, and indexing capabilities for audit and confirmation use cases.
- Set technical direction, establish engineering standards, mentor engineers, and continue hands-on design, coding, delivery, and operation of production systems.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent professional experience.
- At least 7 years of progressive software engineering experience involving hands-on development, architecture, and delivery of large-scale production systems.
- Strong recent hands-on production C#/.NET experience building backend services and APIs with C#/.NET and ASP.NET Core or similar technologies.
- Hands-on Python experience developing AI/ML systems, including model integration, AI orchestration, APIs, data pipelines, or comparable production use cases.
- Demonstrated personal delivery of production AI/ML features, including LLM applications, AI agents, retrieval/RAG, orchestration, or comparable AI-native capabilities; personal projects, coursework, experimentation, and proof-of-concept work alone are insufficient.
- Strong platform and distributed-systems engineering experience, including microservices, system integration, data modeling, REST or GraphQL APIs, relational databases, observability, resilience, scalability, and performance optimization.
- Experience implementing AI safety controls, guardrails, evaluation, reliability, and production operational practices.
- Experience leading complex engineering initiatives from architecture and hands-on implementation through deployment, rollout, and long-term production operation.
- Ability to provide hands-on Staff-level technical leadership, technical direction, mentoring, active coding, and production delivery.
- Strong communication and cross-functional collaboration skills.
- Preferred experience integrating OpenAI or Anthropic LLM APIs, vector databases, embeddings, semantic search, custom retrieval pipelines, AI evaluation, actor-model architectures, AWS, Docker, Kubernetes, GitHub Actions, Angular, TypeScript, and regulated or audit-focused industries.
- Preferred experience working directly with customers and translating customer or business needs into scalable technical solutions.
Benefits
- Flexible hybrid work model for office-based roles.
- Work-from-anywhere flexibility for up to 8 weeks per year and supportive work-life balance policies.
- Comprehensive benefits including flexible vacation, two company-wide Mental Health Days, Headspace access, retirement savings, tuition reimbursement, employee incentive programs, and wellbeing resources.
- Health, dental, vision, disability, life insurance, 401(k) with company match, paid holidays, parental leave, sick and safe paid time off, and sabbatical leave in the United States.
- Additional benefits may include fitness reimbursement, Employee Assistance Program, flexible spending and health savings accounts, commuter benefits, adoption and surrogacy assistance, legal identity theft protection, 529 Plan access, and Employee Stock Purchase Plan.
- Career development, continuous learning, skills development, volunteer opportunities, and paid volunteer days.
Tech Stack
Categories
About Thomson Reuters
Thomson Reuters builds research platforms, workflow software, and data services for legal, tax and accounting, compliance, and government professionals, and operates the Reuters global news service. Flagship products include Westlaw for legal research and ONESOURCE and Checkpoint for tax and accounting, sold primarily via subscriptions and enterprise licenses. A public company headquartered in Toronto, it was formed in 2008 by combining Thomson Corporation and Reuters Group and is listed on the TSX and Nasdaq as TRI.