Senior Software Engineer - AI, CoCounsel International
for each section heading. Use - for any list of duties/requirements/benefits. Use
for prose.
We must output only HTML fragment, no /, no markdown.
Let's craft.
First, About the role: combine the introductory paragraph(s) before Key Responsibilities. The description: "We're looking for a Senior Software Engineer – AI to join the CoCounsel International team and work closely with our Labs team to build new AI agents and adapt them for our international products and features. In this role, you'll build the backend services that bring these agentic capabilities to life, and help take early Labs concepts into scalable, production-ready features used by legal professionals worldwide. If you're passionate about building AI agents and bringing new capabilities to life for legal professionals around the world, we'd love to hear from you. Join us to build, innovate, and make a lasting impact on our CoCounsel application."
We'll put that in
.
Responsibilities: list bullet points from "Key Responsibilities". There are 5 bullet points each with bold heading and description. We'll keep each as
- with the content.
Required Qualifications: list bullet points from "Required Qualifications". There are sections: Technical Experience, Backend & Cloud Skills, Agentic AI Experience, Technical Judgment, Collaboration & Communication. Each has description. We'll put as
- .
Preferred Qualifications: list bullet points from "Preferred Qualifications". There are many items. We'll put as
- .
Benefits: from "What’s in it For You?" includes Hybrid Work Model, Flexibility & Work-Life Balance, Career Development and Growth, Industry Competitive Benefits, Culture, Social Impact, Making a Real-World Impact, Thomson Reuters benefits (detailed). We'll need to capture all substantive info. Could break into multiple
- items.
Pay: include base compensation range details and annual bonus eligibility.
We must not include boilerplate like "Thomson Reuters complies with local laws that require upfront disclosure..." but that is part of pay info; we need to keep the pay range info. The sentence about Thomson Reuters complies... is part of pay disclosure; we can keep it as it's substantive? It's more legal but still part of pay info. Might keep.
We must remove EEO etc. Also remove accommodation info, fraud warnings, etc.
Let's craft HTML.
We'll start with
About the role
...
Then Responsibilities
...
Then Required Qualifications
...
Then Preferred Qualifications
...
Then Benefits
...
Then Pay
...
Make sure no extra whitespace issues.
Let's write content.
About the role paragraph: combine sentences.
"We're looking for a Senior Software Engineer – AI to join the CoCounsel International team and work closely with our Labs team to build new AI agents and adapt them for our international products and features. In this role, you'll build the backend services that bring these agentic capabilities to life, and help take early Labs concepts into scalable, production-ready features used by legal professionals worldwide. If you're passionate about building AI agents and bringing new capabilities to life for legal professionals around the world, we'd love to hear from you. Join us to build, innovate, and make a lasting impact on our CoCounsel application."
Now Responsibilities bullets:
- Build AI-Powered Backend Systems: Design and build backend services using Python, FastAPI, and PostgreSQL to support real-time AI interactions and large-scale data flows, with direct contribution to AI-powered capabilities such as agentic workflows, LLM orchestration, and content pipelines.
- Shape Platform Architecture: Define service boundaries, system interfaces, and scalable design patterns that form the architectural foundation of our AI platform.
- Productionize AI Capabilities: Integrate backend systems with modern LLM providers (e.g., OpenAI, Anthropic) and implement reliable orchestration, routing, error handling, guardrails, telemetry, and deep observability for performance and reliability.
- Collaborate Cross-Functionally: Partner 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 international products.
- Mentor Engineers: Support the growth of other engineers through pairing, code reviews, and ongoing technical guidance.
We'll keep as - each.
Required Qualifications bullets:
- Technical Experience: 4+ years of professional software engineering experience building and shipping production backend systems, APIs, and microservices used by real customers.
- Backend & Cloud Skills: Strong proficiency in Python, FastAPI, PostgreSQL, and AWS cloud services, with a deep understanding of distributed systems, architecture, and data modeling.
- Agentic AI Experience: Proven experience designing, building, and deploying production-grade agentic AI workflows — including multi-step reasoning, tool/API orchestration, and LLM-as-judge or eval-driven quality gates — serving real end users at scale.
- Technical Judgment: Excellent debugging skills and a proven ability to deliver production-ready, highly reliable systems.
- Collaboration & Communication: Comfortable operating in fast-paced, iterative environments, with strong cross-functional communication skills.
Preferred Qualifications bullets (list each):
- BA or BS in Computer Science or equivalent practical experience
- Experience with performance optimization for backend systems, including monitoring, profiling, and tuning for scale
- Hands-on experience building AI-powered product features, including LLM APIs, RAG pipelines, or agentic workflows in a production environment
- Familiarity with AI/ML infrastructure including vector databases, model serving, and cost/latency optimization for LLM-powered features
- Strong opinions on testing, automation, and operational robustness
- Prior experience working on products for legal, compliance, or other regulated professional domains
Benefits bullets: need to capture all.
From "What’s in it For You?":
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
- Thomson Reuters benefits (US): In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
We could combine some but keep as separate
- items.
Pay section: include base compensation range details and annual bonus.
From text:
"Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $127,000 USD - $235,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $110,000 USD - $20
for prose. We must output only HTML fragment, no /, no markdown. Let's craft. First, About the role: combine the introductory paragraph(s) before Key Responsibilities. The description: "We're looking for a Senior Software Engineer – AI to join the CoCounsel International team and work closely with our Labs team to build new AI agents and adapt them for our international products and features. In this role, you'll build the backend services that bring these agentic capabilities to life, and help take early Labs concepts into scalable, production-ready features used by legal professionals worldwide. If you're passionate about building AI agents and bringing new capabilities to life for legal professionals around the world, we'd love to hear from you. Join us to build, innovate, and make a lasting impact on our CoCounsel application." We'll put that in
. Responsibilities: list bullet points from "Key Responsibilities". There are 5 bullet points each with bold heading and description. We'll keep each as
About the role
...
ThenResponsibilities
- ...
Required Qualifications
- ...
Preferred Qualifications
- ...
Benefits
- ...
Pay
...
Make sure no extra whitespace issues. Let's write content. About the role paragraph: combine sentences. "We're looking for a Senior Software Engineer – AI to join the CoCounsel International team and work closely with our Labs team to build new AI agents and adapt them for our international products and features. In this role, you'll build the backend services that bring these agentic capabilities to life, and help take early Labs concepts into scalable, production-ready features used by legal professionals worldwide. If you're passionate about building AI agents and bringing new capabilities to life for legal professionals around the world, we'd love to hear from you. Join us to build, innovate, and make a lasting impact on our CoCounsel application." Now Responsibilities bullets: - Build AI-Powered Backend Systems: Design and build backend services using Python, FastAPI, and PostgreSQL to support real-time AI interactions and large-scale data flows, with direct contribution to AI-powered capabilities such as agentic workflows, LLM orchestration, and content pipelines. - Shape Platform Architecture: Define service boundaries, system interfaces, and scalable design patterns that form the architectural foundation of our AI platform. - Productionize AI Capabilities: Integrate backend systems with modern LLM providers (e.g., OpenAI, Anthropic) and implement reliable orchestration, routing, error handling, guardrails, telemetry, and deep observability for performance and reliability. - Collaborate Cross-Functionally: Partner 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 international products. - Mentor Engineers: Support the growth of other engineers through pairing, code reviews, and ongoing technical guidance. We'll keep as