{"schemaVersion":"jobsearcher.job.v1","id":"0b4f2d64450400bf48e5b9d8","url":"https://jobsearcher.com/jobs/0b4f2d64450400bf48e5b9d8","canonicalUrl":"https://jobsearcher.com/jobs/0b4f2d64450400bf48e5b9d8","title":"Senior AI-Driven Full-Stack Engineer & Tech Lead","description":"As a Staff Software Engineer (Full Stack), you will be hands-on in designing, building, and delivering innovative AI-powered solutions, driving technical strategy, and embedding within business units to help accelerate Thomson Reuters' AI-first transformation.\r\nDefine technical standards and best practices for rapid prototyping and solution discovery\r\nHands-on design and prototyping of complex, enterprise-scale AI-driven systems\r\nBuild engaging frontends using React, Next.js, TypeScript, and Tailwind CSS\r\nDevelop robust backends with Python, FastAPI, Pydantic, and cloud infrastructure, including API design, data modeling, and AI service integration\r\nProvide Senior Technical Leadership Contribute to technical design decisions across the stack, including architecture, API design, and integration patterns\r\nLead architecture decisions and translate high-level business requirements into scalable technical specifications\r\nMentor engineers on the team and support technical growth\r\nServe as a senior technical voice in cross-functional and executive discussions\r\nLead Cross-Functional Collaboration Lead full-stack projects through prioritization, scoping, technical guidance, and collaboration with cross-functional teams\r\nEmbed directly with business units to develop domain expertise and stakeholder relationships\r\nPartner with business leaders, SMEs, and product teams to co-create solutions and drive adoption\r\nDocument architectural decisions and solutions for long-term knowledge sharing\r\nAbout You You are a fit for the role if you have\r\nCore Engineering Experience Bachelor's degree in Computer Science, Engineering, or equivalent experience (Master's preferred)\r\n8+ years of hands-on software engineering experience across the full stack\r\nStrong technical leadership experience as an IC driving major initiatives\r\nExcellent strategic thinking and problem-solving abilities in fast-paced environments\r\nStrong communication and stakeholder management skills\r\nDeep production experience with AWS or Azure\r\nExperience designing, deploying, and operating cloud-native systems\r\nHands-on experience with: Docker\r\nTerraform\r\nCloudFormation\r\nGitHub Actions / GitLab CI / Azure DevOps\r\nStrong Python experience with practical AI system implementation\r\nLLMs\r\nAI agents / agentic workflows\r\nLangChain, LlamaIndex, Semantic Kernel, or similar orchestration frameworks\r\nAI/ML frameworks such as PyTorch or TensorFlow\r\nExperience integrating AI models into production systems using APIs, data pipelines, and cloud-native architectures\r\nFamiliarity with vector databases and RAG patterns\r\nData & APIs (Required) Experience designing REST APIs and/or GraphQL endpoints\r\nExperience with: Strong understanding of data modeling and database optimization\r\nSecurity & Best Practices Understanding of authentication and authorization patterns (OAuth2, OpenID Connect, etc.)\r\nKnowledge of secure API design, secrets management, and cloud security best practices\r\nBonus Points Advanced AI/ML Experience 4+ years leveraging advanced AI/ML frameworks in production\r\nExperience with: Pinecone\r\nWeaviate\r\nChroma\r\nEmbeddings\r\nSemantic retrieval/search systems\r\nFamiliarity with prompt engineering and tooling such as LangSmith or PromptLayer\r\nExperience with AI governance, model risk management, or compliance initiatives\r\nInfrastructure & Scale Experience with: Kafka\r\nAWS SQS/SNS\r\nServerless architectures (AWS Lambda / Azure Functions)\r\nObservability & Quality Production experience with observability/APM tools: New Relic\r\nCloudWatch\r\nApplication Insights\r\nExperience implementing: Unit testing\r\nIntegration testing\r\nEnd-to-end testing\r\nFamiliarity with distributed tracing/logging systems such as OpenTelemetry or ELK Stack\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\r\nThe pay range that the employer in good faith reasonably expects to pay for this position is $70-80/hr USD.\r\nOur optional benefits can include medical, dental, vision and retirement benefits.\r\nApplications will be accepted on an ongoing basis.\r\nTundra Technical Solutions (the operator of this Talent Community) is a global leader of contingent talent services. Our success and our clients' success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.\r\nJ-18808-Ljbffr","company":"Thomson Reuters","rawCompany":"thomson reuters","city":"Eagan","state":"MN","isRemote":false,"isActive":true,"createdAt":"2026-06-25T01:16:46.499Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior AI-Driven Full-Stack Engineer & Tech Lead","description":"As a Staff Software Engineer (Full Stack), you will be hands-on in designing, building, and delivering innovative AI-powered solutions, driving technical strategy, and embedding within business units to help accelerate Thomson Reuters' AI-first transformation.\r\nDefine technical standards and best practices for rapid prototyping and solution discovery\r\nHands-on design and prototyping of complex, enterprise-scale AI-driven systems\r\nBuild engaging frontends using React, Next.js, TypeScript, and Tailwind CSS\r\nDevelop robust backends with Python, FastAPI, Pydantic, and cloud infrastructure, including API design, data modeling, and AI service integration\r\nProvide Senior Technical Leadership Contribute to technical design decisions across the stack, including architecture, API design, and integration patterns\r\nLead architecture decisions and translate high-level business requirements into scalable technical specifications\r\nMentor engineers on the team and support technical growth\r\nServe as a senior technical voice in cross-functional and executive discussions\r\nLead Cross-Functional Collaboration Lead full-stack projects through prioritization, scoping, technical guidance, and collaboration with cross-functional teams\r\nEmbed directly with business units to develop domain expertise and stakeholder relationships\r\nPartner with business leaders, SMEs, and product teams to co-create solutions and drive adoption\r\nDocument architectural decisions and solutions for long-term knowledge sharing\r\nAbout You You are a fit for the role if you have\r\nCore Engineering Experience Bachelor's degree in Computer Science, Engineering, or equivalent experience (Master's preferred)\r\n8+ years of hands-on software engineering experience across the full stack\r\nStrong technical leadership experience as an IC driving major initiatives\r\nExcellent strategic thinking and problem-solving abilities in fast-paced environments\r\nStrong communication and stakeholder management skills\r\nDeep production experience with AWS or Azure\r\nExperience designing, deploying, and operating cloud-native systems\r\nHands-on experience with: Docker\r\nTerraform\r\nCloudFormation\r\nGitHub Actions / GitLab CI / Azure DevOps\r\nStrong Python experience with practical AI system implementation\r\nLLMs\r\nAI agents / agentic workflows\r\nLangChain, LlamaIndex, Semantic Kernel, or similar orchestration frameworks\r\nAI/ML frameworks such as PyTorch or TensorFlow\r\nExperience integrating AI models into production systems using APIs, data pipelines, and cloud-native architectures\r\nFamiliarity with vector databases and RAG patterns\r\nData & APIs (Required) Experience designing REST APIs and/or GraphQL endpoints\r\nExperience with: Strong understanding of data modeling and database optimization\r\nSecurity & Best Practices Understanding of authentication and authorization patterns (OAuth2, OpenID Connect, etc.)\r\nKnowledge of secure API design, secrets management, and cloud security best practices\r\nBonus Points Advanced AI/ML Experience 4+ years leveraging advanced AI/ML frameworks in production\r\nExperience with: Pinecone\r\nWeaviate\r\nChroma\r\nEmbeddings\r\nSemantic retrieval/search systems\r\nFamiliarity with prompt engineering and tooling such as LangSmith or PromptLayer\r\nExperience with AI governance, model risk management, or compliance initiatives\r\nInfrastructure & Scale Experience with: Kafka\r\nAWS SQS/SNS\r\nServerless architectures (AWS Lambda / Azure Functions)\r\nObservability & Quality Production experience with observability/APM tools: New Relic\r\nCloudWatch\r\nApplication Insights\r\nExperience implementing: Unit testing\r\nIntegration testing\r\nEnd-to-end testing\r\nFamiliarity with distributed tracing/logging systems such as OpenTelemetry or ELK Stack\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\r\nThe pay range that the employer in good faith reasonably expects to pay for this position is $70-80/hr USD.\r\nOur optional benefits can include medical, dental, vision and retirement benefits.\r\nApplications will be accepted on an ongoing basis.\r\nTundra Technical Solutions (the operator of this Talent Community) is a global leader of contingent talent services. Our success and our clients' success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T01:16:46.499Z","dateModified":"2026-06-25T01:16:46.499Z","hiringOrganization":{"@type":"Organization","name":"Thomson Reuters","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eagan","addressRegion":"MN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0b4f2d64450400bf48e5b9d8"},"url":"https://jobsearcher.com/jobs/0b4f2d64450400bf48e5b9d8"}}