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Thomson Reuters
Thomson Reuters
Sponsor pentru viza H1BAsigurăriConsultanțăJuridic
Thomson Reuters dezvoltă conținut, date și tehnologii de încredere pentru profesioniștii care lucrează în servicii juridice, fiscalitate și contabilitate, comerț internațional, gestionarea riscurilor, asigurări, consultanță și știri globale. Portofoliul său include platforme de cercetare juridică, software pentru fiscalitate și contabilitate, instrumente de conformitate și reglementare, precum și servicii media Reuters. Combinând expertiza de specialitate cu investițiile în inteligența artificială generativă, Thomson Reuters ajută firmele de avocatură, corporațiile, profesioniștii din domeniul fiscal și organizațiile media să gestioneze informații complexe, să eficientizeze fluxurile de lucru și să ia decizii mai bine fundamentate.
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Locurile de muncă ale companiei

Staff Software Engineer, AI – Hybrid

Lead production AI and backend platform engineering for Thomson Reuters’ audit confirmation product, using C#/.NET, Python, LLMs, agents, retrieval, and distributed systems.

USStatele Unite ale AmericiiMIMichiganMNMinnesotaNYNew YorkTXTexas
127.400 $ – 236.600 $ / an
HibridNormă întreagăLiderLimbă Obligatorie: englezăInginer AIInginer de învățare automată
.NETAngularASP.NETAWSDockerGraphQLKubernetesMicroserviciiPostgresPythonSisteme distribuiteTypeScript

Descriere

  • Design, build, and deliver production backend and platform services with C#/.NET, PostgreSQL, AWS, microservices, and distributed-system patterns
  • Develop production AI/ML capabilities in Python, including LLM integrations, agents, orchestration, retrieval, and multi-step workflows
  • Drive hands-on AI engineering initiatives across product and infrastructure
  • Create and advance AI orchestration with routing, tool calling, MCP servers, multi-step workflows, safety controls, guardrails, evaluation, and resilient third-party LLM error handling
  • Design dependable, scalable, high-throughput distributed systems and AI workloads
  • Apply caching, queuing, rate limiting, model failover, observability, resilience, and cost and performance optimization
  • Build retrieval and data capabilities with document search, vector stores, embeddings, semantic search, and indexing strategies
  • Define technical direction and shape engineering standards
  • Mentor engineers while continuing to design, code, build, and ship production systems
  • Collaborate with Principal Engineers and cross-functional engineering, product, design, user experience, research, and machine learning teams
  • Create MCP servers and agent-based capabilities
  • Develop dependable, scalable AI infrastructure

Cerințe

  • Bachelor’s degree in Computer Science, Computer Engineering, a related discipline, or equivalent professional experience
  • At least 7 years of progressive software engineering experience
  • Recent, substantial hands-on experience developing production software with C#/.NET
  • Experience creating backend services and APIs with C#/.NET and ASP.NET Core or comparable technologies
  • Hands-on Python experience developing AI/ML systems
  • Demonstrated experience building and releasing AI/ML features to production
  • Experience with LLM applications, AI agents, retrieval/RAG, orchestration, or similar AI-native capabilities
  • Background in platform and distributed-systems engineering
  • Experience with 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 operations
  • Experience leading complex engineering initiatives through deployment, rollout, and sustained production operation
  • Ability to serve as a hands-on Staff-level technical leader
  • Strong communication and cross-functional collaboration skills
  • Professional production AI delivery experience is required; personal projects, coursework, experimentation, and proof-of-concept work alone are insufficient
  • Preferred experience includes OpenAI or Anthropic LLM APIs, vector databases, embeddings, semantic search, custom retrieval pipelines, AI evaluation, actor-model architectures, AWS, Docker, Kubernetes, CI/CD, Angular, TypeScript, and regulated industries

Beneficii

  • Flexible hybrid work environment
  • Up to 8 weeks of work from anywhere each year
  • Flexible vacation policy
  • Two company-wide Mental Health Days
  • Access to the Headspace app
  • Retirement savings options
  • Tuition reimbursement
  • Employee incentive programs
  • Mental, physical, and financial wellbeing resources
  • Two paid volunteer days each year
  • Health insurance coverage
  • Dental insurance coverage
  • Vision insurance coverage
  • Disability insurance coverage
  • Life insurance coverage
  • 401(k) plan with company match
  • Paid sick and safe 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
  • Access to a 529 Plan
  • Commuter benefits
  • Adoption and surrogacy assistance
  • Employee Stock Purchase Plan
  • Annual bonus eligibility based on enterprise and individual performance

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