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 looking for a highly skilled and visionary Senior Machine Learning Engineer to lead the design, development, and deployment of advanced AI solutions across our platform. This role involves building LLM-powered systems, intelligent agents, and traditional ML/DL models that drive innovation in mental health care technology. You will mentor junior engineers, influence architectural decisions, and ensure scalability and performance of AI-driven products. Your expertise will help shape the next generation of multimodal AI applications that deliver measurable business impact.Lead AI System Design: Architect and implement scalable, production-grade AI systems using Python and modern ML frameworks.
LLM & Agentic Systems: Design and optimize LLM-powered workflows and autonomous AI agents using orchestration frameworks (LangChain, LlamaIndex, CrewAI, Semantic Kernel).
Advanced Model Development: Build, fine-tune, and deploy deep learning models (PyTorch, TensorFlow, Keras) for NLP, vision, and multimodal tasks.
Data Engineering & Analytics: Oversee data pipelines, perform advanced analytics, and create actionable insights through visualization.
Database Expertise: Design and optimize data storage and retrieval using SQL and PostgreSQL for large-scale AI workflows.
Integration & Deployment: Drive seamless integration of AI models with APIs, microservices, and cloud infrastructure.
Mentorship & Leadership: Guide junior engineers, review code, and enforce best practices in ML engineering and MLOps.
Innovation & Research: Stay ahead of emerging trends in Generative AI, agent architectures, and open-source AI ecosystems.
Required Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field.
Experience: 5+ years of experience in ML engineering, with proven track record of deploying models in production.
LLM Expertise: Hands-on experience with Large Language Models (GPT series, Llama, Claude, Gemini) and orchestration frameworks.
Agent Architectures: Deep understanding of AI agent frameworks and reasoning strategies (e.g., ReAct, planning-based agents).
ML/DL Proficiency: Advanced experience with PyTorch, TensorFlow, and Keras for model development and optimization.
Data & Database Skills: Strong SQL and PostgreSQL expertise for data management and performance tuning.
Cloud & MLOps: Experience with Azure OpenAI, Amazon Bedrock, Google Vertex AI, and MLOps tools for CI/CD and monitoring.
Leadership: Demonstrated ability to lead projects and mentor teams.
Preferred Qualifications
Expertise in model quantization, distillation, and optimization for large-scale deployment.
Experience with microservices, Kubernetes, and GitOps practices.
Contributions to open-source AI/ML projects or published research.
Familiarity with vector databases (Pinecone, Weaviate, ChromaDB).
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.
Top Skills
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
