Senior Software Engineer

Thomson Reuters

. Design, develop, and own Content Tools end-to-end, including APIs and retrieval components for TR legal content .

Posted 10/2/2026full-timeUnited StatesSenior💰 $102,200 - $189,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing APIs and content tools with a strong focus on Python, AWS, and AI-assisted development. Proven ability to lead projects, mentor junior engineers, and communicate complex technical concepts effectively.

Highest-signal resume keywords

Python MasteryAPI Design ExpertiseAWS ProficiencyOperational OwnershipAI-Assisted Development

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringAPI DevelopmentDistributed SystemsUnit TestingIntegration TestingInformation RetrievalTool DevelopmentData InfrastructureContract-Driven APIsSchema-Driven APIs

Soft Skills

Clear CommunicationMentoringCollaboration

Tools & Technologies

FastAPIPydanticClaude Agent SDKMCPVespaOpenSearchElasticsearchTerraformECSKubernetes

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Engineering

Industry Keywords

Legal TechnologyKnowledge ManagementHigh-Stakes Information DomainsCI/CD PracticesEthical AI

Tech Stack

Tools & technologies

AWSCloudElasticSearchKubernetesPythonTerraform

About the role

Key responsibilities & impact

Design, develop, and own Content Tools end-to-end, including APIs and retrieval components for TR legal content
Build versioned, schema-driven, contract-driven APIs with ownership metadata
Design retrieval components for agentic use within latency and token-economy constraints
Build and tune retrieval and search with TR Labs research scientists on the Vespa platform
Define acceptance criteria and build evaluation datasets, gold data, and CI gates
Build agent tools using Python, FastAPI, Pydantic, AWS, Claude Agent SDK, and MCP
Contribute to shared libraries, generators, and engineering patterns
Participate in on-call rotation and own incident response, root-cause analysis, communication, and post-mortems
Write and improve runbooks
Improve deployment, testing, and local-development workflows
Instrument components with structured logging, metrics, and distributed tracing
Capture tool-invocation sequences and per-hop inputs for agentic retrieval diagnostics
Define and monitor SLOs for owned tools
Use AI-assisted development for generation, review, testing, and debugging
Provide technical direction and design-decision authority for owned tools
Serve as a subject-matter expert and mentor junior engineers through reviews, pairing, and coaching
Collaborate with TR Labs, CoCounsel Engineering, product owners, and research scientists
Document decisions through project-level ADRs
Champion ethical AI and secure, responsible engineering

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
5+ years of software engineering experience designing, developing, and testing production backend, API, or data-infrastructure systems
Demonstrated end-to-end ownership of features and components
Mastery of Python and strong fundamentals in API design
Rigorous unit, integration, and evaluation testing discipline
Solid distributed-systems knowledge
Proficiency with AWS cloud services, Datadog, and CI/CD practices, including Blue/Green and Canary deployments
Demonstrated operational ownership, including on-call participation, architectural documentation, decision records, and post-mortems
Fluency with AI-assisted development tools as a primary workflow component
Ability to communicate technical concepts clearly to technical and non-technical audiences
Working knowledge of information-retrieval fundamentals
Experience building tools or APIs for agentic AI systems, including MCP or similar protocols
Background in legal technology, knowledge management, or other high-stakes information domains
Familiarity with Vespa, OpenSearch, or Elasticsearch
Experience integrating AI services, embedding APIs, re-ranking models, and RAG-supported retrieval
Familiarity with API gateways such as Apigee
Experience with agent and retrieval evaluation, deterministic eval suites, gold data, Promptfoo, and Langfuse
Working understanding of Terraform and ECS or Kubernetes
Ability to configure and optimize CI/CD pipelines

Benefits

Comp & perks

Flexible hybrid working environment for office-based roles
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
Pro-bono consulting project opportunities
Environmental, Social, and Governance (ESG) initiative opportunities
Health, dental, vision, disability, and life insurance programs
Competitive 401(k) plan with company match
Competitive vacation, sick and safe paid time off
Paid holidays, including two company mental health days off
Parental leave
Sabbatical leave
Optional hospital, accident and sickness insurance
Optional life and AD&D insurance
Flexible Spending and 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 based on enterprise and individual performance