Staff Software Engineer I
Thomson Reuters is hiring a Staff Software Engineer I in Bengaluru, India. Level rates it ; you can apply on Thomson Reuters.
Level's read on this job
- Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
- The posting mentions OpenAI, Claude and LangGraph among its tools and skills.
- Level classes it as a lead role.
- Thomson Reuters has 492 other open roles on Level.
- Posted in the last few days.
AI in this role
Job Description
Are you a hands-on engineer who wants to build AI agents that do real work? Not demos, but agents that provision infrastructure, investigate incidents, answer the questions engineers would otherwise file a ticket for, and take action safely on production systems?
Our technology organization runs the cloud, compute, and network platforms that thousands of engineers across Thomson Reuters build on, spanning AWS, Azure, and our own data centers. We are rethinking how that platform is built and operated, with AI agents and automation taking on work that used to require tickets, runbooks, and manual toil. We are looking for a Staff Software Engineer to help lead that work.
We are a software engineering team within Thomson Reuters’ technology organization. We design and build AI agents, agent tooling, and infrastructure automation that change how technology teams across the company work. We also own and evolve internal platform and developer tools used by engineers across the company.
We place a high degree of trust in our engineers and expect them to deliver. We move quickly, ship to production, and learn from what our users actually do. In return, you will have interesting problems, the resources to solve them, and real room to shape how a large enterprise adopts AI.
Key Responsibilities
- We build for production, so a prototype is a starting point, not a deliverable. We eliminate toil by design, asking whether software, automation, or an agent should handle repetitive work. We use AI in our own development workflow and apply engineering judgment to everything it produces. We reuse before we build, and we value aptitude and judgment over experience with any specific toolset.
- Design and build AI agents that reason over context, call tools, and take action on real systems, from single-purpose assistants to multi-step workflows with human approval where it matters.
- Build the APIs, MCP servers, and integrations that give agents safe, well-scoped access to cloud providers, source control, service management, observability, and internal platforms.
- Build infrastructure-as-code, pipelines, and self-service capabilities that let engineers get what they need without waiting on a person.
- Own production-grade concerns for agents, including evaluation and regression testing, observability, cost and latency management, guardrails, least-privilege access, defenses against prompt injection, and auditability.
- Lead technically by owning the design of major systems, writing clear design documents, leading design and code reviews, establishing reusable patterns and standards, and mentoring engineers across the team.
- Apply judgment about when AI fits, recognizing when a deterministic script, a better API, or a process change is the right answer and making that case clearly.
- Partner with platform, cloud, security, and SRE teams, and with the stakeholders whose work is being automated, to turn ambiguous problems into well-defined solutions.
Required Qualifications
- 6+ years of professional software engineering experience, including designing, building, and operating production systems.
- Strong proficiency in at least one modern programming language. Python is the primary language and experience with it is a plus, but strong engineers from Go, TypeScript, C#, Java, or similar backgrounds who are ready to work in Python are welcome.
- Hands-on experience building applications or agents on large language models, including tool and function calling, context management, retrieval (RAG), and structured outputs, with a practical understanding of failure modes such as hallucination, non-determinism, and prompt injection.
- Experience with AWS and/or Azure and with infrastructure-as-code tools such as Terraform, AWS CDK, CloudFormation, or Bicep.
- Experience with modern delivery practices, including Git-based workflows, CI/CD (e.g., GitHub Actions, Azure Pipelines), automated testing, and containers.
- A secure-by-design mindset, especially when giving software the ability to act on production systems.
- Clear written and verbal communication, including the ability to write a strong design document and explain complex trade-offs to technical and non-technical audiences.
- A track record of technical leadership, including mentoring engineers, leading through influence, and raising the quality of a team’s work.
- Bachelor’s degree in Computer Science or a related field, or an equivalent combination of education and experience.
Preferred Qualifications
- Experience with the Model Context Protocol (MCP) or agent frameworks and SDKs such as LangGraph, the Claude Agent SDK, OpenAI Agents SDK, Microsoft Agent Framework, or Amazon Bedrock AgentCore. Understanding of what these frameworks abstract is valued more than experience with any one of them.
- Experience designing evaluation suites for LLM systems, or with LLM observability tooling (e.g., OpenTelemetry, Langfuse, LangSmith).
- Experience with Kubernetes, serverless architectures, or event-driven systems.
- Background in platform engineering, SRE, or DevOps, including on-call and incident response.
- Familiarity with networking fundamentals (DNS, firewalls, cloud networking) or IT service management platforms such as ServiceNow.
- Experience working in large, regulated, or compliance-conscious enterprise environments.
#LI-VGA1
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.
About Us
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. Sound exciting? 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. 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.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. 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.
How we rate this
Staff Software Engineer I at Thomson Reuters rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What are the limits of OpenAI that you've run into, and how did you work around them?
- What's a project where you used Claude hands-on?
- Walk me through how you've used LangGraph in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, OpenAI, Claude, and LangGraph. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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