Senior AI Engineer at Emosapien

, , Australia -

Full Time

Start Date

Immediate

Expiry Date

14 Mar, 26

Salary

0.0

Posted On

14 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, NLP, Speech Models, Recommendation Systems, Python, PyTorch, TensorFlow, Hugging Face, AWS, MLOps, Data Privacy, Model Evaluation, Prompt Optimization, Safety Testing, Human-in-the-Loop Workflows, Behavioral Data, Healthcare Data

Industry

Description

Emosapien is building an AI-powered therapy co-pilot that reduces administrative work for therapists, amplifies the quality of care, and keeps patients engaged between sessions. Our platform uses advanced NLP, real-time recommendations, and continuous engagement tools to transform the therapy experience for both clinicians and patients. As a Senior AI Engineer, you’ll help shape the intelligence behind this platform. You’ll design, build, and improve the models that automate session documentation, deliver real-time therapeutic insights, and support patients beyond the therapy room. This role sits at the heart of our product and touches everything from model research to production deployment. What you’ll work on Build and refine AI models for automated session documentation (notes, treatment plans, insights) using speech, text, and structured data. Develop real-time recommendation systems that support clinicians during sessions with safe, contextual suggestions. Design patient-engagement models that provide personalized exercises, reminders, and emotional support between sessions. Own the full lifecycle of model development, from research and experimentation to evaluation, deployment, and monitoring. Work closely with engineering and product to integrate AI into features used daily by therapists and patients. Implement strong guardrails, privacy-first architecture, and explainable AI practices suitable for mental-health workflows (HIPAA-like expectations). Optimize inference performance, reliability, and accuracy for large-scale use. Stay across breakthroughs in LLMs, speech models, and therapeutic AI tools, and introduce the right innovations at the right time. Technical skills Strong experience in building and deploying machine-learning systems (LLMs, NLP, speech models, recommendation systems). Solid software engineering background in Python and frameworks such as PyTorch, TensorFlow, Hugging Face, or similar. Experience with cloud environments (AWS preferred), MLOps, and scalable model-serving pipelines. Understanding of data privacy, compliance, and secure handling of sensitive information (mental-health and healthcare environments require a privacy-first mindset). Familiarity with model evaluation, prompt optimization, safety testing, and human-in-the-loop workflows. Experience working with behavioral or healthcare data is a plus. Who you are You enjoy solving meaningful problems that improve people’s wellbeing. You think beyond the model, how it behaves, how it fails, and how clinicians rely on it in real life. You’re comfortable working autonomously in a fast-growing early-stage environment. You communicate clearly and collaborate well across engineering, design, and clinical teams. You’re motivated by impact and enjoy shaping the foundations of a product and culture. Emosapien sits at a powerful intersection: AI innovation and mental-health impact. Unlike competitors that focus almost entirely on therapist documentation, Emosapien balances both therapist efficiency and patient engagement, offering a genuinely holistic platform. What makes Emosapien a great place to build? Mission-driven work – Every model you build helps reduce burnout for therapists and improves mental-health outcomes for patients. A product with depth – You’ll work across documentation automation, real-time insights, patient engagement, and remote-therapy optimization. Small team, massive impact – You’ll shape architecture, standards, and product direction from day one. Room to innovate – We actively encourage experimentation with new architectures, model types, safety frameworks, and LLM techniques. Autonomy with support – Clear outcomes without micromanagement. A human-centered AI philosophy – We design AI that supports clinicians rather than replacing them. Flexible remote-friendly environment – Work in a way that supports your creativity and wellbeing.

Responsibilities

As a Senior AI Engineer, you will design, build, and improve AI models for automated session documentation and real-time therapeutic insights. You will also own the full lifecycle of model development and work closely with engineering and product teams.