AI Engineer

• Design and implement scalable APIs for agent orchestration and learner interaction
• Build data pipelines that feed agent evaluation and continuous improvement cycles
• Create event streaming infrastructure for real-time learner interaction analysis
• Ensure data quality and accessibility for training and evaluating learning agents
• Improve data infrastructure for cost and performance in close coordination with Data and ML teams
• Design and implement rigorous evaluation frameworks to measure agent performance and improve cycles
• Develop LLM evaluation processes and perform error analysis to identify systemic improvements for agentic learning systems
• Support instrumentation that makes evaluation relevant (metrics, traces/logs, and analysis workflows)
• Participate in on-call rotation and incident response for learning platform reliability
• Contribute to runbooks, postmortems, and reliability improvements as we evolve our operating model

Senior Software AI Engineer

• As a Principal AI Engineer at Rula, you will own the AI foundation that determines how generative AI shows up across mental healthcare.
• You will operate where architecture, applied research, and real-world clinical constraints meet, designing durable, production-grade systems that power patient engagement and provider workflows at scale.
• This is a deeply hands-on role where you will act as a technical multiplier, architecting core platform primitives (RAG, agentic loops) while setting the standard for technical excellence and safety in a regulated environment.

Principal AI Engineer

• Design, develop, and deploy scalable AI solutions
• Build LLM-based solutions for enterprise applications
• Integrate LLMs with business systems
• Architect AI agents for intelligent automation
• Implement CI/CD pipelines for machine learning models
• Monitor model performance and governance
• Collaborate with cross-functional teams for solution delivery
• Create technical documentation and mentoring

• As a Senior AI Engineer focused on Agentic Evaluation and Verification and Validation (V&V), you will join the AI and Data Science team within Slingshot’s Research and Development organization.
• You will contribute to advancing how intelligent systems are evaluated and validated for mission-critical space operations.
• This role focuses on building and scaling evaluation frameworks, benchmarks, and simulation-backed validation systems for agentic AI systems, including multi-step, tool-using, and autonomous decision-making workflows powered by LLMs and reinforcement learning.
• Your work will directly support the development of reliable and trustworthy autonomous mission planning systems.
• You will partner closely with AI researchers and domain experts to translate real-world mission concepts into structured, testable evaluation systems.

Senior AI Engineer, Agentic Evaluation – V&V

• At Rula, this role owns the AI foundation that determines how, and how well, AI shows up across mental healthcare.
• The focus isn’t on prototypes or isolated features, but on building durable, production-grade generative AI systems that directly power patient engagement, provider workflows, and clinical operations at scale.
• You’ll operate where architecture, applied research, and real-world constraints meet.
• The work includes designing core AI platforms, setting technical standards for safety, reliability, and performance, and making principal decisions about how advanced AI is introduced into a regulated, high-stakes care environment.
• This is a deeply hands-on role with real technical ownership. You’ll define system architecture, unblock complex engineering problems, and act as a technical multiplier for other engineers working across product surfaces.
• Success here means creating foundations that others can build on confidently and that hold up under scale, scrutiny, and real patient impact.

Senior Staff AI Engineer

• Play a key role in building the internal platform which supports training and deploying AI models across the entire organization.
• Take ownership of defining the platform to enable AI model fine-tuning and batch inference by building the SDKs and supporting the infra.
• Manage cross-cutting stakeholder relationships, prioritizing customer needs first.
• Navigate ambiguous, hairy, and technical problem spaces.
• Jump into domains, languages, and problem areas that might be new and unfamiliar.

See all jobs on JobTailor

Senior Software AI Engineer

Principal AI Engineer

AI Engineer

Senior AI Engineer, Agentic Evaluation – V&V

Senior Staff AI Engineer

Senior Software Engineer II, ML/AI Platform