Implementation Engineer- Python, Java, C++, SQL, etc

Role - Implementation Engineer
Remote (6PM to 2AM)
 
Job Overview:
At Tennr, as an Implementation Engineer, you will leverage the Tennr platform to design and deliver tailored solutions for clients.

This role involves collaborating closely with clients, internal teams, and stakeholders to deploy, configure, and optimize the Tennr platform to address unique client needs effectively.

You will ensure seamless integration while maintaining high standards of customer satisfaction through proactive communication, problem-solving, and a client-focused approach
 
Responsibilities and Duties:
● Building end-to-end automation solutions: Tailor solutions to meet client-specific needs
● Client Collaboration: Provide ongoing communication and updates during the implementation process
● Testing and Quality Assurance: Address bugs or technical issues identified during the
implementation phase.
● Support and Troubleshooting: Collaborate with technical support teams to handle escalated issues.
● Incident Management: Use ticketing systems to track and manage implementation incidents systematically.
● Platform Mastery: Gain deep expertise in Tennr Fluent's features, limitations, and capabilities to leverage them effectively.
 
Qualifications:
● Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
● Proficiency in programming languages (e.g., Python, Java, or SQL) and Workflows.
● Familiarity with APIs, webhooks, and system integrations..
● Strong problem-solving abilities and analytical thinking.
● Previous experience in software engineering, technical consulting, or a similar role
 
About the Company:
Tennr reads documents from incoming faxes passing through healthcare practices and automates essential tasks like scheduling and qualifying patient visits.

By automating that paperwork with Tennr, practices receive more patient referrals and reduce billing errors by 98%, significantly growing revenue.
 
Turn paperwork into your patient advantage
RaeLM is a proprietary vision language model trained on over 4mm medical documents, 230 million data fields, 8,000 page classifications, and 2 billion checkboxes — making it the highest performing document reasoning model in healthcare.
‍
Tennr is the automation platform that puts RaeLM to work for healthcare.
Funding:
Series C
US$ 101M