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Senior Agentic Software Engineer - Legal

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Senior Agentic Software Engineer - Legal in Others

  • Ho Chi Minh City, Vietnam

Responsibilities

  • Build, support, and integrate Legal AI and automation solutions across Chamelio, Microsoft 365 Copilot, Claude, OneTrust, internal Legal systems, data platforms, document repositories, and approved enterprise data sources.
  • Design and build AI-powered legal applications, internal copilots, intelligent automations, agentic workflows, and API-based integrations.
  • Translate Legal requirements involving architecture, access controls, data flows, integrations, model behavior, trade-offs, compliance, confidentiality, and governance into practical technical solutions.
  • Partner with Legal stakeholders to identify high-impact use cases, define requirements, prioritize the engineering backlog, and deliver adoptable solutions.
  • Manage Legal AI solutions across discovery, architecture, development, testing, deployment, monitoring, documentation, user training, support, adoption measurement, and continuous improvement.
  • Protect privileged, confidential, personal, employee, and sensitive business data through secure-by-design architecture, access controls, audit logging, retention alignment, and privacy-by-design practices.
  • Develop evaluation, testing, and quality frameworks for Legal AI outputs covering accuracy, reliability, defensibility, source grounding, human review, and escalation.
  • Collaborate with Enterprise Applications, IT, Data, Security, and Legal to align solutions with enterprise architecture, security standards, governance requirements, and Legal’s operating model.

Requirements

  • At least 5 years of hands-on experience in software, data, automation, integration, platform, or applied AI engineering, including at least 5 years building and operating production software.
  • Strong Python skills; TypeScript or C# experience is a plus.
  • Experience building tested and maintainable services, APIs, and systems using relational and document data stores, CI/CD, and containers.
  • Production experience building LLM API applications using retrieval-augmented generation, tool calling, multi-step agent workflows, human-in-the-loop controls, and structured outputs.
  • Experience building evaluation sets and quality metrics for LLM outputs and using them to gate releases.
  • Experience building enterprise-scale document-processing pipelines that parse, OCR, extract, classify, and structure unstructured documents.
  • Experience applying authentication, authorization, secrets management, encryption, audit logging, and privacy-by-design practices to systems handling sensitive data.
  • Experience using agentic coding tools as a core part of software development and demonstrating production delivery improvements from their use.
  • Ability to work effectively with non-technical Legal stakeholders, explain technical concepts clearly, challenge assumptions, and translate Legal priorities into engineering solutions.
  • Fluent written and spoken English is required; Vietnamese is an advantage.
  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field, or equivalent practical experience.
  • Relevant cloud, security, data, or AI engineering certifications are advantageous.

OPSWAT

OPSWAT protects critical infrastructure. Our goal is to eliminate malware and zero-day attacks. We believe that every file and every device pose a threat. Threats must be addressed at all locations at all times—at entry, at exit, and at rest. Our products focus on threat prevention and process cr...

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