Staff Software Engineer – AI Platform

Thomson Reuters

Staff engineer building AI orchestration and backend systems for Thomson Reuters’ tax, accounting, and audit products. Scaling reliable workflows across millions of documents and thousands of concurrent interactions.

Posted 9/2/2026full-timeEagan • Minnesota, Missouri, New York, Texas • 🇺🇸 United StatesLead💰 $127,400 - $236,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend development and AI orchestration, with a strong focus on Python, FastAPI, and scalable cloud-based applications. Proven ability to lead complex projects, mentor engineers, and collaborate effectively across multidisciplinary teams.

Highest-signal resume keywords

Deep Python ExpertiseProduction Systems Experience Using FastAPIExperience With AWSStrong Background In Distributed SystemsHands-On Experience Integrating LLM APIs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend DevelopmentAI OrchestrationFull-Stack DevelopmentScalable Cloud-Based ApplicationsWeb ServicesAPIsData ModelingAutomated TestingPerformance TuningIncident Response

Soft Skills

Excellent Communication SkillsMentoringCollaboration

Tools & Technologies

FastAPIPostgreSQLAWSVercelVector DatabasesOpenAI APIAnthropic API

Certifications & Qualifications

Bachelor’s Degree In Computer Science

Industry Keywords

AI SystemsLLMsAuditFintechTaxLegal

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsPostgresPython

About the role

Key responsibilities & impact

Own backend and AI orchestration systems powering AI agents, conversations, workspaces, and knowledge bases across CoCounsel for Audit
Define patterns for MCP servers, agent design, novel LLM uses, experimentation, and scalable infrastructure
Shape platform integration strategy across new and existing Thomson Reuters audit systems
Build and evolve systems operating over millions of documents, structured tax data, changing laws, and thousands of concurrent AI interactions
Lead multi-quarter initiatives across AI, product, and infrastructure
Mentor senior and mid-level engineers on system design, code quality, and AI integration
Collaborate with AI/ML engineers, researchers, designers, and product managers
Help shape the roadmap, technical strategy, engineering culture, experimentation, testing, rollout, and postmortems
Architect and implement backend services using Python, FastAPI, PostgreSQL, AWS, and Vercel
Build AI orchestration involving routing, tool calling, MCP servers, multi-step workflows, safety, guardrails, and third-party LLM error handling
Design high-throughput, low-latency AI workloads using caching, queuing, rate-limiting, model failover, and cost/performance trade-offs
Work with large-scale data, retrieval and search, vector stores, and indexing strategies
Establish and refine SLOs, observability, and incident response for correct, auditable, and trustworthy AI systems

Requirements

What you’ll need

Bachelor’s degree in computer science, Computer Engineering, a related field, or equivalent experience
5-7+ years of experience in full-stack development, building scalable cloud-based applications, web services, APIs and AI-driven products
Deep Python expertise
Production systems experience using FastAPI or similar frameworks
Experience with relational databases such as PostgreSQL or equivalent
Experience with a major cloud provider, AWS preferred
Strong background in distributed systems, data modeling, API contracts, observability, resilience patterns, and performance tuning under load
Proven track record leading large, complex projects end-to-end: architecture, execution, rollout, and long-term operation
Excellent communication skills and ability to partner with product, design, and ML teams
Demonstrated interest in AI systems and engineering paradigms including LLMs, agents, and retrieval
Hands-on experience integrating LLM APIs such as OpenAI and Anthropic 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 correctness-, auditability-, and compliance-sensitive domains such as fintech, tax, audit, or legal, or strong interest in applying AI in those contexts

Benefits

Comp & perks

Flexible hybrid working environment
Work from anywhere for up to 8 weeks per year
Flexible vacation
Two company-wide Mental Health Days off
Headspace app access
Retirement savings
Tuition reimbursement
Employee incentive programs
Mental, physical, and financial wellbeing resources
Two paid volunteer days off annually
Health insurance
Dental insurance
Vision insurance
Disability insurance
Life insurance
401(k) plan with company match
Competitive vacation, sick and safe paid time off
Paid holidays
Parental leave
Sabbatical leave
Optional hospital, accident and sickness insurance
Optional life and AD&D insurance
Flexible Spending Accounts
Health Savings Accounts
Fitness reimbursement
Employee Assistance Program
Group Legal Identity Theft Protection benefit
529 Plan access
Commuter benefits
Adoption & Surrogacy Assistance
Employee Stock Purchase Plan
Annual Bonus eligibility based on enterprise and individual performance
Flexible and supportive benefits and wellbeing programs