Staff Software Engineer - AI

Thomson Reuters; Ciudad de México; Presencial; MXN 1.500.000 - 1.900.000; Jornada completa

Descripción de la vacante

Thomson Reuters in Mexico City is seeking a Lead Software Engineer AI (Staff Engineer AI) to drive technical direction for our CoCounsel team, building next-gen AI agentic tools for legal professionals.

You will lead a team of frontend and backend engineers, design scalable backend services in Python with FastAPI and PostgreSQL, and partner with Labs, product, and design to deliver production-ready AI features.

Formación

• 7+ years of software engineering experience, including 2+ years in technical leadership and 3+ years building scalable cloud applications.
• Proficiency in Python, FastAPI, PostgreSQL, and cloud services (AWS or Azure).
• Experience designing CI/CD pipelines for production web apps and automated testing.

Responsabilidades

• Build and architect AI agentic driven systems with frontend/backend teams.
• Define service boundaries and scalable design patterns for the AI platform.
• Lead architecture decisions and mentor engineers across teams.
• Ensure testing, monitoring, and observability for AI systems at scale.

Conocimientos

Python

FastAPI

PostgreSQL

Distributed systems

Leadership

AWS

Azure

CI/CD

Educación

BA/BS in Computer Science

Herramientas

GitHub Actions

GitLab CI

CodePipeline

Datadog

CloudWatch

Descripción del empleo

Job Description

We're looking for a Lead Software Engineer AI (Staff Engineer AI) to join the CoCounsel team. We are building the next generation of AI agentic products for legal professionals. The team takes early Labs concepts and turns them into scalable, production-ready features. You'll also help drive our transition to an AI-native engineering organization where AI accelerates development and engineers provide technical leadership, architecture, and judgment.
As a Lead Software Engineer AI (Staff Engineer), you will be responsible technical direction and delivery of our market leading Litigation Drafting products in CoCounsel Legal. You will be providing technical leadership for a team of talented front and back end engineers to deliver at pace.
We are looking for Leaders with a strong sense of urgency and a desire to work in a fast-paced, dynamic environment who will drive the delivery of timely solutions. You are empowered to try new approaches and learn new technologies. You will have agency to contribute innovative ideas, create solutions, and will be accountable for end-to-end deliveries.

Key Responsibilities

Build and architect AI Agentic driven systems -You will be working with the Engineering Manager to facilitate our full stack team in delivering ground breaking Agentic Legal software. Leading Technical strategy, experimentation, testing, rollout practices and operational excellence

Designing and building backend services using Python, FastAPI, and PostgreSQL to support real-time AI agentic interactions, with direct contribution to AI-powered capabilities such as agentic workflows, LLM orchestration, and content pipelines.

Defining service boundaries, system interfaces, and scalable design patterns that form the architectural foundation of our AI platform.

Supporting the front-end engineers to deliver of a complex Agentic UI which uses SSE and AG-UI along with Claude Agent SDK and AgentCore at run time.

Drive innovation and technical strategy - Lead evaluation and adoption of cutting-edge AI techniques; oversee proof-of-concept work and technical feasibility for new AI-driven features; stay current with AI research and translate insights into technical roadmaps.

Provide senior technical leadership - Lead architecture decisions and translate business requirements into scalable technical specifications; mentor senior and junior software engineers

Ensure quality, security, and operational excellence - Design and implement testing, monitoring, and observability for AI systems at scale; lead compliance with ethical AI principles, security standards, and regulatory requirements.

Cross-Functional Influence: Influencing and partnering closely with our Labs team, product managers, and designers to take early AI agent concepts and turn them into scalable, production-ready features for our products. Working closely with other engineering leaders to ensure consistency with other teams.

Productionize AI Capabilities: Integrate with modern LLM providers (e.g., OpenAI, Anthropic) and implement reliable orchestration, routing, error handling, guardrails, telemetry, and deep observability for performance and reliability. Strengthen CI/CD pipelines and DevOps automation to support fast, stable, cloud-native development workflows.

Required Qualifications

Technical Experience: 7+ years of software engineering experience, including 2+ years in technical leadership roles and 3+ years building scalable cloud applications, APIs, and AI-enabled products. Proven track record of shipping production-grade AI systems to customers, including deployment, monitoring, evaluation, scaling, and ongoing operational ownership in enterprise environments.

Technical Skills: Strong proficiency in Python, FastAPI, PostgreSQL, and AWS or Azure cloud services, with a deep understanding of distributed systems, architecture, and data modelling. building and owning CI/CD pipelines for production web applications (GitHub Actions, GitLab CI, CodePipeline, or similar), including automated testing and safe release practices

Collaboration & Communication: Comfortable operating in fast-paced, iterative environments, with strong cross-functional communication skills. Strong product sense and the ability to work from ambiguous requirements.

Leadership: Strong leadership and mentoring experience; excellent strategic thinking and problem-solving; outstanding communication and presentation skills with experience influencing senior stakeholders.

Preferred Qualifications

BA or BS in Computer Science or equivalent practical experience

Strong knowledge of vector databases, embeddings, semantic search, and information retrieval;

Hands‑on experience with the AG-UI protocol or comparable agent‑UI protocols and SDKs. Strong proficiency in SSE events

Knowledge of backend streaming patterns (Node, Python/FastAPI, etc.) sufficient to debug end to end

Experience with Datadog (logs/RUM/traces), CloudWatch Log Insights, and Braintrust

Prior experience workin