Tennr

www.tennr.com

2 Jobs

169 Employees

About the Company

Tennr takes healthcare providers from fax to first visit, faster. Using RaeLM(tm), the only vision-language model trained to interpret unstructured medical records against complex payor criteria, Tennr helps ensure payor-ready documentation, boost conversions, and cut first-pass denials.

Listed Jobs

Company Name: Tennr
Job Title: Backend Software Engineer
Job Description: **Job Title** Backend Software Engineer **Role Summary** Build and own end‑to‑end backend services that power high‑volume, data‑driven workflow automation and machine‑learning integration. Design scalable data schemas, architect event‑driven systems, and oversee performance optimization to deliver direct customer value. **Expectations** - Deliver production‑ready features that meet defined business goals. - Own technical architecture decisions and ensure scalability, reliability, and maintainability. - Collaborate cross‑functionally with product, sales, and customer success to translate feedback into technical solutions. - Demonstrate a proactive, “founder‑mindset” by steering projects from concept through deployment and improvement. **Key Responsibilities** 1. Design, implement, and maintain scalable backend services and infrastructure. 2. Lead development of high‑volume workflow automation pipelines, optimizing data processing and machine‑learning workloads. 3. Build event‑driven, orchestrated workflows that leverage ML models in production. 4. Conduct performance profiling and tuning across all stack layers, ensuring scalability and reliability. 5. Integrate third‑party APIs and services, maintaining clean, well‑documented interfaces. 6. Mentor peers, review code, and advocate best practices in design, testing, and deployment. **Required Skills** - 3+ years of backend development experience. - Strong command of JavaScript/Node.js with TypeScript proficiency. - Proven experience building scalable web applications and high‑volume data pipelines. - Hands‑on knowledge of event‑driven architectures (e.g., message queues, Kafka, RabbitMQ). - Practical experience integrating ML models (serving inference, data pipelines). - Familiarity with orchestration/automation tools (e.g., Airflow, Prefect, Argo). - Performance optimization across databases, APIs, and distributed systems. - Excellent problem‑solving, clean‑code practices, and documentation skills. - Strong verbal and written communication; ability to explain complex concepts to varied audiences. - Team‑player mindset; thrives in collaborative, fast‑paced environments. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (preferred; not mandatory). - Industry certifications (e.g., AWS Certified Developer, GCP Professional Data Engineer) are optional and not required.

New york, United states

Hybrid

Junior

04-12-2025

Company Name: Tennr
Job Title: Machine Learning Engineer
Job Description: **Job title:** Machine Learning Engineer **Role Summary:** Design, develop, and deploy machine learning models and data pipelines that transform unstructured healthcare data into actionable insights, driving automation of referral workflows and improving patient outcomes. **Expactations:** Own end‑to‑end product development for ML models, ensuring they are scalable, robust, and continuously monitored; translate business and technical requirements into efficient ML solutions; collaborate across engineering, product, sales, and customer success to iterate on model performance and product impact. **Key Responsibilities:** - Architect, train, deploy, and monitor production-ready ML models (LLMs, VLMs, computer vision). - Build and optimize scalable data processing pipelines and ML infrastructure on cloud platforms. - Design backend workflows that integrate ML for process automation. - Fine‑tune and evaluate models for medical document understanding and multi‑model pipelines. - Collaborate with product and customer teams to gather feedback, implement enhancements, and define evaluation metrics. **Required Skills:** - 3+ years of ML research/engineering experience post‑BS/MS. - Proven ability to deliver scalable web applications in high‑volume workflow automation. - Hands‑on experience integrating models into production (REST, gRPC, batch). - Strong knowledge of NLP, vision‑language models, and traditional computer vision techniques. - Proficiency in Python, PyTorch/TensorFlow, and ML frameworks (Hugging Face, LangChain, etc.). - Expertise in data engineering (ETL, Spark, Pandas), streaming, and cloud services (AWS/GCP/Azure). - Experience with MLOps tools (MLflow, Kubeflow, Airflow, DAGs). - Ability to translate complex problem statements into actionable solutions and iterate rapidly. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or related field. - Valid certifications in cloud platforms or ML (optional but advantageous).

New york, United states

Hybrid

Junior

07-02-2026