AI Mental Health Engineer

We're shaping the future of mental health technology by revolutionizing how support is accessed and delivered.

The mission is to bridge the significant gaps in mental health care accessibility, providing instant and private support at any time. This solution addresses the pressing need for immediate mental health support, where waiting times can reach up to 48 days and many people cannot afford care.

Job Overview

You'll lead the development of our conversational AI core, ensuring user-visible improvements are shipped quickly while raising the bar on empathy, reliability, and guardrails. This role requires a hands-on approach : equal parts research-to-production and platform thinking.

• Own the end-to-end model lifecycle of our conversational AI : problem framing → data curation → modeling / fine-tuning / post-training → evals → rollout → monitoring
• Collaborate closely with clinical psychologists (both internal and external) to ensure the efficacy of our conversational AI
• Design agentic flows (tool use, planning, multi-turn memory) and safe retrieval for mental-health use cases
• Build and own the evaluation flywheel : benchmarks, judge models, rubrics for conversational quality, ability to help, safety
• Implement alignment & safety layers (e.g., self-harm detection, red-teaming, refusal strategies, escalation paths) tuned to clinical guidelines
• Optimize for latency, cost, and quality
• Partner tightly with product, sales, and users to scope new features
• Establish LLMOps : datasets, prompts / checkpoints / versioning, observability, drift monitoring, and incident response for model quality

Your Skills

What We Offer

A dynamic environment that values innovation, collaboration, and growth. As a member of our team, you'll have opportunities to shape the future of mental health technology and make a meaningful impact.