# Staff Software Engineer I at Thomson Reuters

Thomson Reuters is hiring a Staff Software Engineer I in Bengaluru, India. Level rates it Builds AI ●●●●; you can [apply on Thomson Reuters](https://jobsbylevel.com/go/861658c7-464b-4473-b846-d36a3977460f?utm_medium=ai-agent).

AI Level 4, AI centrality 85 out of 100. India, Bengaluru, Karnataka.

## Details

- Company: [Thomson Reuters](https://jobsbylevel.com/companies/thomson-reuters)
- AI level: AI Level 4 (score 85 out of 100)
- Location: India, Bengaluru, Karnataka
- Posted: October 29, 2026
- Apply: https://jobsbylevel.com/go/861658c7-464b-4473-b846-d36a3977460f?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=staff-software-engineer-i-at-thomson-reuters-bf701a

## Prepare for this job

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## Description

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

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Source: https://jobsbylevel.com/jobs/staff-software-engineer-i-at-thomson-reuters-bf701a

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