About the Role

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.

Build & Design AI-Driven Systems

• Define technical standards and best practices for rapid prototyping and solution discovery

• Hands-on design and prototyping of complex, enterprise-scale AI-driven systems

• Build engaging frontends using React, Next.js, TypeScript, and Tailwind CSS

• Develop robust backends with Python, FastAPI, Pydantic, and cloud infrastructure, including API design, data modeling, and AI service integration

Provide Senior Technical Leadership

• Contribute to technical design decisions across the stack, including architecture, API design, and integration patterns

• Lead architecture decisions and translate high-level business requirements into scalable technical specifications

• Mentor engineers on the team and support technical growth

• Serve as a senior technical voice in cross-functional and executive discussions

Lead Cross-Functional Collaboration

• Lead full-stack projects through prioritization, scoping, technical guidance, and collaboration with cross-functional teams

• Embed directly with business units to develop domain expertise and stakeholder relationships

• Partner with business leaders, SMEs, and product teams to co-create solutions and drive adoption

• Document architectural decisions and solutions for long-term knowledge sharing

About You

You are a fit for the role if you have:

Core Engineering Experience

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience (Master’s preferred)

• 8 years of hands-on software engineering experience across the full stack

• Strong technical leadership experience as an IC driving major initiatives

• Excellent strategic thinking and problem-solving abilities in fast-paced environments

• Strong communication and stakeholder management skills

Cloud & Infrastructure (Required)

• Deep production experience with AWS or Azure

• Experience designing, deploying, and operating cloud-native systems

• Hands-on experience with:

  • Docker

  • Kubernetes

  • Terraform

  • CloudFormation

  • CI/CD pipelines

  • GitHub Actions / GitLab CI / Azure DevOps

AI & Machine Learning (Required)

• Strong Python experience with practical AI system implementation

• Hands-on exposure to:

  • LLMs

  • AI agents / agentic workflows

  • LangChain, LlamaIndex, Semantic Kernel, or similar orchestration frameworks

  • AI/ML frameworks such as PyTorch or TensorFlow

• Experience integrating AI models into production systems using APIs, data pipelines, and cloud-native architectures

• Familiarity with vector databases and RAG patterns

Data & APIs (Required)

• Experience designing REST APIs and/or GraphQL endpoints

• Experience with:

  • SQL databases (PostgreSQL, MySQL, etc.)

  • NoSQL databases (MongoDB, DynamoDB, CosmosDB, etc.)

• Strong understanding of data modeling and database optimization

Security & Best Practices

• Understanding of authentication and authorization patterns (OAuth2, OpenID Connect, etc.)

• Knowledge of secure API design, secrets management, and cloud security best practices

Bonus Points

Advanced AI/ML Experience

• 4 years leveraging advanced AI/ML frameworks in production

• Experience with:

  • Pinecone

  • Weaviate

  • Chroma

  • pgvector

  • embeddings

  • semantic retrieval/search systems

• Familiarity with prompt engineering and tooling such as LangSmith or PromptLayer

• Experience with AI governance, model risk management, or compliance initiatives

Infrastructure & Scale

• Experience with:

  • Kafka

  • RabbitMQ

  • AWS SQS/SNS

  • Azure Service Bus

  • serverless architectures (AWS Lambda / Azure Functions)

Observability & Quality

• Production experience with observability/APM tools:

  • Datadog

  • New Relic

  • CloudWatch

  • Application Insights

• Experience implementing:

  • unit testing

  • integration testing

  • end-to-end testing

• Familiarity with distributed tracing/logging systems such as OpenTelemetry or ELK Stack

All 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.

The pay range that the employer in good faith reasonably expects to pay for this position is $70-80/hr USD.

Our optional benefits can include medical, dental, vision and retirement benefits.

Applications will be accepted on an ongoing basis.

Tundra 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.

Salary : $70 - $80