Role Summary

Join Wisedocs as an Engineering Manager, AI Product Development to lead the next generation of our medical document analysis platform. In this role, you'll manage 2-3 cross-functional pods, guiding AI product and model development from prototype to production at scale. You'll own core data, labeling, training, and inference capabilities while pushing the frontier of medical and claims-based models.

You'll have the opportunity to tackle ambitious technical challenges-your team has recently rebuilt inference pipelines for 100x scale, cracked parsing 50k-page PDFs, deployed into isolated government environments, and built a comprehensive medical document reasoning benchmark. This is both a people leadership and technical leadership role, where you'll work cross-functionally to ship products customers love while scaling our AI capabilities across the organization.

What We Have

We currently have four types of AI systems running in production, a comprehensive entity classification system, a comprehensive set of internal data labelling applications, an AI playbook and workflow product and a set of Summarization models. Our entity classification has been in production for 5 years and currently processes data asynchronously with a combination of models. You can read more about our work at https://www.wisedocs.ai/tech-blog

What you'll be doing

• Coach and grow an existing strong IC team

• Collaborating with other technical stakeholders and leaders to actively work towards the design and implementation of systems.

• Ensuring the reliability and scalability of ML systems, implementing best practices in data engineering and model lifecycle management.

• Work with our expert in the loop teams to build industry leading evaluations

• Other duties and responsibilities will be assigned as projects develop, adjust and mature.

You're a great candidate if you have

• Experience working across multiple engineering teams to deliver projects

• Technical excellence in one area of Machine Learning

• Strengths in one of backend engineering, data engineering or cloud engineering

• Ability to think through problems end to end, including data, infrastructure, research, monitoring and inference considerations

• Possess professional working experience with LLMs, RAG, BERT based models.

• A track record of developing high-quality, maintainable code.

• Excellent problem-solving skills in an independent and team setting

• Are enthusiastic about working in a fast-paced, innovative environment, contributing to a team that aims to make a significant impact in the medical and insurance tech space.

What we offer

• A hybrid work model, requiring on-site presence at least three times per month (approximate).

• Modern employee benefits, including health and dental coverage 100% company paid

• Competitive compensation, with valuable stock options, as we're still a young company growing very quickly.

• An opportunity to develop very rapidly in your career. We can offer you a super-immersive learning environment, and you thrive there you will have the opportunity to rapidly develop this opportunity into senior practitioner or management opportunities as you choose.

• Access to a learning and professional development fund to help you level up your career while you're working with us. We hope to be an incredible step up for your career if you decide to come and work with us.

• Company events

• Generous Paid Time Off

• Paid Sick Days

• Casual Dress code

• Employee Referral Bonus

• Tuition Assistance

• Plus, many other Recognition Programs!

Recruitment Journey at Wisedocs:

We're excited to meet you and explore the possibilities together! At Wisedocs, honesty is one of our core values. Our Recruitment process is transparent to ensure you are set up for success:

• Round 1 - People & Culture Chat: 20-30 min conversation about your background, goals, and the role.

• Round2 - 1st Technical Assessment: A 1 -hour technical assessment that focuses on conceptual and system design.
• Round 3 - Product take home assessment followed by a 1 hour panel interview.
• Round 4 - Interview with the Hiring Manager: A 1-hour interview with the hiring manager focusing on culture fit, experience, and high-level technical questions.

Note: We use AI-powered tools alongside human review to support a fair, inclusive, and efficient hiring process, helping us work smarter and create better experiences for our customers and team.

This posting is for current and future opportunities at Wisedocs. Even if there isn't an immediate opening, we're always excited to meet great people. If your experience lines up, we encourage you to apply - we'll reach out when a role opens that's a good fit.