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Thomson Reuters
Thomson Reuters
H1B vīzas sponsorsApdrošināšanaJuridiskie pakalpojumiKonsultācijas
Thomson Reuters izstrādā uzticamu saturu, datus un tehnoloģijas profesionāļiem, kuri strādā juridisko pakalpojumu, nodokļu un grāmatvedības, starptautiskās tirdzniecības, riska pārvaldības, apdrošināšanas, konsultāciju un globālo ziņu jomā. Tās piedāvājumā ietilpst juridiskās izpētes platformas, nodokļu un grāmatvedības programmatūra, atbilstības un regulatīvie rīki, kā arī Reuters mediju pakalpojumi. Apvienojot specializētas zināšanas ar ieguldījumiem ģeneratīvajā mākslīgajā intelektā, Thomson Reuters palīdz advokātu birojiem, uzņēmumiem, nodokļu speciālistiem un mediju organizācijām pārvaldīt sarežģītu informāciju, racionalizēt darba procesus un pieņemt labāk informētus lēmumus.
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Vakances uzņēmumā

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.

USAmerikas Savienotās ValstisMIMičiganaMNMinesotaNYŅujorkaTXTeksasa
127 400 $ – 236 600 $ / gads
HibrīdiPilna slodzeVadošais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženieris
.NETAngularASP.NETAWSDockerGraphQLKubernetesMikropakalpojumiPostgresPythonSadalītās sistēmasTypeScript

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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