Software Engineer – AI

Thomson Reuters

. Build and ship AI agentic features end to end from written requirement through design, implementation, code review, and production .

Posted 11/5/2026full-timeMexico City • MexicoJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping AI agentic features, with strong capabilities in backend service design using Python, FastAPI, and PostgreSQL. Proficient in integrating LLM providers and optimizing backend performance for scalable, production-ready systems.

Highest-signal resume keywords

Python DevelopmentBackend Service DesignAI-Powered Product FeaturesCloud Services (AWS, Azure, GCP)RESTful API Design

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPIPostgreSQLSQLNoSQLRESTful API DesignMicroservices ArchitectureAI Coding and Testing ToolsBackend Performance OptimizationAutomated Testing

Soft Skills

Cross-Functional CommunicationFast LearningDebugging SkillsTeam CollaborationAdaptability

Tools & Technologies

AWSAzureGCPDatadogCloudWatch Log InsightsAgentic UITypeScriptReactRAG PipelinesClaude Agent SDK

Certifications & Qualifications

BA or BS in Computer Science

Industry Keywords

AI Agentic FeaturesLLM OrchestrationComplianceRegulated DomainsCloud-Native Development

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformMicroservicesNoSQLPostgresPythonReactSQLTypeScript

About the role

Key responsibilities & impact

Build and ship AI agentic features end to end from written requirement through design, implementation, code review, and production
Own straightforward projects with a moderate level of guidance
Design and build backend services using Python, FastAPI, and PostgreSQL
Support real-time AI interactions and large-scale data flows
Contribute to agentic workflows, LLM orchestration, and content pipelines
Integrate modern LLM providers such as OpenAI and Anthropic
Implement orchestration, routing, error handling, guardrails, telemetry, and observability
Strengthen CI/CD pipelines and DevOps automation for cloud-native development workflows
Apply AI coding and testing tools to engineering work
Translate business requirements into appropriate AI-based solutions
Read unfamiliar code, perform root cause analysis, troubleshoot production behavior, and address automated code-quality issues
Contribute to automated testing strategy and continuous integration and delivery pipelines
Participate in design discussions, agile ceremonies, and cross-team work with Product, Design, and Labs teams
Share knowledge, support colleagues, and contribute to a learning-focused team culture

Requirements

What you’ll need

1-3+ years of professional software development experience
Working knowledge of Python
Experience with AWS, Azure or GCP Cloud services
Solid understanding of RESTful API design, distributed systems and microservices architecture
Experience working with SQL and NoSQL databases
Excellent debugging skills
Proven ability to deliver production-ready, highly reliable systems
Comfortable operating in fast-paced, iterative environments
Strong cross-functional communication skills
Evidence that you learn fast, including something self-taught and shipped
BA or BS in Computer Science or equivalent practical experience (preferred)
Experience with backend performance optimization, including monitoring, profiling, and tuning for scale
Hands-on experience building AI-powered product features, ideally agentic AI workflows including multi-step reasoning
Experience with tool/API orchestrations, LLM APIs, RAG pipelines, Claude Agent SDK / AgentCore at runtime
Experience with Agentic UI, SSE/AG-UI streaming semantics, TypeScript/React
Experience with Datadog, CloudWatch Log Insights, and Braintrust
Familiarity with AI/ML infrastructure including vector databases, model serving, and cost/latency optimization for LLM-powered features
Experience testing, automation, and operational robustness
Prior experience working on products for legal, compliance, or other regulated professional domains

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
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Two paid volunteer days off annually
Opportunities to participate in pro-bono consulting projects and ESG initiatives
Career development and skills development through Grow My Way programming
Flexible work arrangements
Social Impact Institute opportunities