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Ensora Health

Sr. AI/ML Engineer

Sorry, this job was removed at 12:10 p.m. (CST) on Tuesday, Feb 10, 2026
In-Office or Remote
35 Locations
In-Office or Remote
35 Locations

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Ensora Health is the leading provider of software and services for mental and behavioral health therapists, trusted by over 200,000 individual providers and more than 28,000 practices.  Our unmatched expertise, partnership, and breadth of products allow us to fine-tune solutions that meet the specific needs of everyone from solo practitioners to larger practices. With AI-enabled solutions that span practice management to electronic medical records and e-prescribing to billing, we help eliminate administrative complexity and create harmony between therapists, their clients, and the whole healthcare community.

Job Description

We are seeking a visionary and technically exceptional Senior Machine Learning Engineer to build the next generation of AI-driven capabilities across our platform. In this role, you will design and deploy LLM-powered systems, intelligent agents, and advanced ML/DL models that directly influence innovation in mental health care technology. You will lead architectural decisions, mentor engineering talent, and ensure the scalability, reliability, and performance of AI systems that deliver measurable business impact.
What You’ll Do
  • Architect and build scalable, production-grade AI systems using Python and modern machine learning frameworks.
  • Develop and optimize LLM-powered intelligent agent workflows using orchestration frameworks such as LangChain, LlamaIndex, CrewAI, and Semantic Kernel.
  • Design, fine-tune, and deploy deep learning models (PyTorch, TensorFlow, Keras) across NLP, vision, and multimodal applications.
  • Lead data engineering efforts by designing pipelines, performing advanced analytics, and creating visual insights.
  • Manage database design and optimization using SQL and PostgreSQL for large-scale AI workloads.
  • Integrate AI models into APIs, microservices, and cloud environments to ensure seamless production deployment.
  • Mentor junior engineers, guide code quality standards, and advocate best practices across ML engineering and MLOps.
  • Stay ahead of emerging AI research, including breakthroughs in generative AI, agentic architectures, model optimization, and open-source ecosystems.
What You Bring
  • Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field.
  • 5+ years of experience deploying ML models into production environments.
  • Hands-on experience with LLMs (GPT series, Llama, Claude, Gemini) and orchestration frameworks.
  • Deep understanding of agent architectures and reasoning strategies (ReAct, planning-based agents).
  • Strong expertise with PyTorch, TensorFlow, and Keras.
  • Advanced SQL and PostgreSQL skills for data management and performance tuning.
  • Experience with Azure OpenAI, Amazon Bedrock, Google Vertex AI, and MLOps tooling for CI/CD, deployment, and monitoring.
  • Proven leadership through mentoring, project ownership, and technical decision-making.
  • Preferred: Experience with model distillation, quantization, GPU optimization, microservices, Kubernetes, GitOps, vector databases (Pinecone, Weaviate, ChromaDB), or contributions to open-source AI/ML projects.
Additional Information

While we've outlined some key qualities we typically seek, it's essential to remember that there might be additional unique strengths and talents you possess that would make you an exceptional match for us, even if they're not explicitly mentioned. Studies have consistently highlighted the significance of this principle, particularly for individuals from disenfranchised backgrounds, including women and other marginalized groups. These individuals often hesitate to apply unless they meet every single requirement, unlike their male counterparts who are more inclined to apply when they meet around 60% of the criteria. 

The message we want to convey is that taking a leap of faith and applying can be incredibly rewarding. Your distinct abilities and perspectives could be exactly what we need to create a more diverse and inclusive team. So, don't hesitate—apply today and let's explore the exciting possibilities together! 

All your information will be kept confidential according to EEO guidelines.

At Ensora Health, Diversity, Equity, Inclusion, and Belonging aren’t just words. We celebrate what makes us unique, foster an ecosystem of inclusion for all and harness our talents to promote diversity of thought and action in everything we do.

We instill Diversity, Equity, Inclusion, and Belonging into the fabric of our CARING culture and business, as we strive to be recognized not only as the leader in healthcare technology, but also for our intentional efforts to promote a diverse community. ​

​We will champion non-discriminatory practices throughout the employee and customer lifecycle; caring for every person regardless of race, national origin, color, religion, disability, sex, orientation, or familial status. 

Ensora Health is an equal opportunity employer. 

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