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About the Role

This role in TR Labs owns the engineering behind the next-generation search and retrieval layer, serving both traditional search experiences and agentic AI workflows over large collections of legal, tax, and regulatory content. Multiple product teams depend on the deliverables from this role, which involves empirical research to improve retrieval systems and making winning versions production-grade.

Responsibilities

• Own end-to-end delivery of significant search and retrieval projects, accountable for the outcome, the quality and timeline, and the system once it is live
• Act as technical lead for a squad of 3–5 engineers: set direction, break down the work, review designs and code, and unblock the team
• Partner closely with applied scientists, build on their models, ranking approaches, and research directions, and feed production evidence back into the science
• Run the exploration → POC → proof of value → productionization loop, and decide what to try next, including what not to try
• Design and build retrieval architectures, ingestion and indexing pipelines, and ranking and re-ranking systems on OpenSearch and Vespa
• Build the retrieval infrastructure that agentic AI workflows depend on, and the search agents themselves: tool-facing retrieval APIs, agentic query planning and multi-step retrieval, RAG pipelines, hybrid and semantic retrieval, and query understanding
• Build evaluation that actually discriminates — offline relevance harnesses, golden and labeled sets, online A/B tests, and end-to-end agent quality measurement designed to separate real improvement from a number that happened to move, and to keep discriminating as the models get stronger
• Diagnose retrieval and agent quality failures: why is this result wrong, which stage of the pipeline caused it, and what does that imply about the design
• Build and operate production APIs and backend services on AWS, with the performance, reliability, and cost characteristics that mission-critical systems require
• Identify and communicate risk to timelines and architecture early and clearly, to peers and to senior stakeholders
• Influence architecture decisions beyond your own squad through design review, alignment with partner teams, and mentorship.

Requirements

• Bachelor's or Master's in Computer Science, Engineering, or a related field
• ~7+ years building production software, including search, retrieval, or ranking systems you shipped and then owned — launched, scaled, and maintained, not just prototyped
• Proven track record leading technical projects and delivering through other engineers, and influencing architecture decisions across teams
• Deep hands-on production expertise in OpenSearch or Vespa (or comparable depth in Elasticsearch, Solr, or Lucene, with the ability to ramp on ours) rather than only consuming a vector database or a retrieval API
• Rigor with evidence: designing search experiments, relevance and ranking metrics, offline evaluation harnesses, online A/B measurement — and the discipline to know when a result is real
• Outstanding software engineering in Python, across the stack from ingestion pipelines to retrieval services to evaluation infrastructure
• AI-native development: agentic coding tools are a routine part of how you build, and you have judgment about where they make you faster and where their output needs checking before it ships
• Designing, operating, and scaling production APIs and large-scale distributed systems on AWS, including performance optimization at scale
• Information retrieval fundamentals: indexing and ingestion at large corpus scale, vector search, embeddings, semantic and hybrid retrieval, and RAG infrastructure built for production use
• Track record of collaborating with applied scientists or ML practitioners and productionizing their models and approaches

Skills

• OpenSearch
• Vespa
• Elasticsearch
• Solr
• Lucene
• Python
• AWS
• Information retrieval
• Indexing
• Ingestion
• Vector search
• Embeddings
• Semantic retrieval
• Hybrid retrieval
• RAG infrastructure
• Search relevance
• Ranking
• Query understanding
• Learning-to-rank
• LLM-based ranking
• LLM-based re-ranking
• LLM-as-judge
• Model-assisted relevance evaluation
• Evaluating open-ended or knowledge-intensive LLM behavior
• Retrieval systems for agentic AI workflows
• Search agents for agentic AI workflows
• Kafka
• Event-driven architectures
• Large-scale data pipelines
• ML infrastructure
• Embedding pipelines
• Vector databases
• Mission-critical production systems
• SLAs
• Legal domain
• Regulatory domain
• Tax domain
• Scientific domain
• Text-heavy domains
• Self-service platform capabilities

Location

• New York City
• San Francisco
• Los Angeles
• Irvine, CA
• McLean, VA
• Washington, DC

Work Type

• Hybrid Work Model
• Work from anywhere for up to 8 weeks per year

Experience Level

• Lead
• ~7+ years building production software
• Proven track record leading technical projects
• Delivering through other engineers
• Influencing architecture decisions across teams

Education Level

• Bachelor's or Master's in Computer Science, Engineering, or a related field

Salary/Compensations

• $158,000 USD - $293,000 USD
• $137,100 USD - $254,700 USD

Benefits

• Flexible hybrid working environment
• Flex My Way policies
• Work from anywhere for up to 8 weeks per year
• Continuous learning and skill development
• Grow My Way programming
• Skills-first approach
• 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
• Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance
• Two paid volunteer days off annually
• Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives
• Market competitive health, dental, vision, disability, and life insurance programs
• Competitive 401k plan with company match
• Competitive vacation, sick and safe paid time off
• Paid holidays
• Parental leave
• Sabbatical leave
• Optional hospital, accident and sickness insurance
• Optional life and AD&D insurance
• Flexible Spending and Health Savings Accounts
• Fitness reimbursement
• Access to Employee Assistance Program
• Group Legal Identity Theft Protection benefit
• Access to 529 Plan
• Commuter benefits
• Adoption & Surrogacy Assistance
• Employee Stock Purchase Plan
• Annual Bonus based on enterprise and individual performance

About the Company

• Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions.
• We serve professionals across legal, tax, accounting, compliance, government, and media.
• Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.
• Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
• We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments.
• At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them.
• Join us and help shape the industries that move society forward.
• As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals.

Equal Opportunity

• As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
• Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
• Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law.
• If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com.
• Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations.
• Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations.
• More information on requesting an accommodation here.
• Learn more on how to protect yourself from fraudulent job postings here.
• More information about Thomson Reuters can be found on thomsonreuters.com