Software Engineers

The Software Engineers will support the Agentic Content Systems (ACS) organization within RL Content, building AI-native tooling, agentic workflows, developer surfaces, and validation infrastructure across three sub-teams: Frontier, Forge, and Foundations. Work spans agentic workflow development, dashboard/surface engineering, rapid prototyping of AI-powered content tools, human-in-the-loop validation systems, and shared knowledge-layer infrastructure. Responsibilities

• Design, build, and ship agentic workflows that replace manual processes.
• Build and maintain tooling dashboards and surfaces that aggregate agentic signals for Content pillar leads, including new modules, pillar integrations, and UI iterations.
• Conduct high-velocity exploration of AI-native tooling, shipping rapid prototypes and killing bets that don't prove out.
• Discover, evaluate, and integrate new external and Meta-internal AI build tooling into the Content org's development workflows.
• Build validation harnesses, eval pipelines, and supervised-handoff ("on-the-loop") workflows for production agents.
• Extend the Content Pod Manager registry and reporting infrastructure with pillar-specific customizations and leadership reporting surfaces.
• Extend shared knowledge layer capabilities, integrating new data sources and adapting to evolving Meta search/retrieval infrastructure.
• Use and create AI-assisted development tools as a core part of the development workflow to accelerate delivery.
• Partner with pod leads, pillar stakeholders, and XFN partners to define requirements, scope prototypes, and iterate on deliverables.
• Document systems, APIs, and architectural decisions for handoff post-delivery.

• Verbal and written communication skills, problem solving skills, customer service and interpersonal skills.
• Ability to work independently and manage ones time.
• Basic mentoring skills necessary to provide support and constructive performance feedback.
• Knowledge of the full software development lifecycle: from business/systems analysis, through requirements gathering and functional specification authoring, to development, testing and delivery.
• Ability to troubleshoot issues and make system changes as needed to resolve issue.
• Knowledge of computer hardware and software.
• Knowledge of computer development software as it relates to systems, such as SQL, VisualBasic, etc.

Education/Experience

• Bachelor's degree in computer science, software engineering or relevant field required.

Must Have Skills

• Coding and System Architect
• Experience with AI (Agentic model, consuming AL model to build for internal/external) Claude >
• Full Stack: React, JS + Python, PHP;Hack

Nice to Have Skills

• Cross functional
• XFN, covering CWAM if they're away to chat with business teams
• Previous Meta

DTS is looking for experienced Software Engineer ( React JS/ Python) for a Direct Client position based in Seattle, WA