Staff Software Engineer – AI Platform
Thomson Reuters3 days ago
Base Salary
$127k - $273k/yr
Responsibilities
- Define technical patterns for MCP servers, AI agents, LLM experimentation, and scalable infrastructure.
- Lead multi-quarter cross-functional initiatives spanning AI, product, and infrastructure.
- Mentor senior and mid-level engineers and raise standards for system design, code quality, and AI integration.
- Architect and implement backend services powering generative AI agents, workflows, and document-centric experiences.
- Build orchestration capabilities including routing, tool calling, MCP servers, multi-step workflows, safety guardrails, and robust LLM error handling.
- Design high-throughput, low-latency systems with caching, queuing, rate limiting, model failover, and cost/performance trade-offs.
- Develop retrieval, search, vector-store, and indexing strategies for large-scale tax and accounting data.
- Establish SLOs, observability, reliability practices, and incident response for auditable AI systems.
- Shape technical strategy, roadmap, engineering culture, testing, rollout, and postmortems.
Requirements
- Bachelor’s degree in computer science, computer engineering, a related field, or equivalent experience.
- 5–7+ years of experience in full-stack development and building scalable cloud applications, web services, APIs, and AI-driven products.
- Deep Python expertise with production experience using FastAPI or similar frameworks, PostgreSQL or equivalent relational databases, and a major cloud provider, preferably AWS.
- Strong distributed-systems background including data modeling, API contracts, observability, resilience patterns, and performance tuning under load.
- Proven ability to lead complex projects end-to-end across architecture, execution, rollout, and long-term operation.
- Excellent communication and cross-functional partnership skills with product, design, and ML teams.
- Demonstrated interest in LLMs, agents, retrieval, and AI-native software.
- Hands-on experience integrating OpenAI or Anthropic LLM APIs into production applications, including prompt/response management, cost controls, and safety considerations.
- Experience with vector databases, embeddings, semantic search, or custom retrieval pipelines.
- Experience with automated testing, reliability, and release practices for systems with non-deterministic model behavior.
- Experience in fintech, tax, audit, legal, or another domain where correctness, auditability, and compliance matter is preferred.
Benefits
- Flexible hybrid work model for office-based roles.
- Work-from-anywhere flexibility for up to 8 weeks per year and other work-life balance policies.
- Career development, continuous learning, Grow My Way programming, and skills-first development.
- Comprehensive health, dental, vision, disability, and life insurance benefits, plus a 401k plan with company match for US employees.
- Flexible vacation, sick and safe paid time off, paid holidays, parental leave, sabbatical leave, and two company-wide mental health days.
- Access to Headspace, Employee Assistance Program, fitness reimbursement, tuition reimbursement, commuter benefits, Flexible Spending and Health Savings Accounts, and a 529 Plan.
- Two paid volunteer days annually and opportunities for pro-bono consulting and ESG initiatives.
- Employee incentive programs and access to an Employee Stock Purchase Plan.
- Potential eligibility for an annual bonus based on enterprise and individual performance.
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.