11 Oct
InCommon
Nagpur
>
> Job Type: Full-Time
>
> Location: India// Remote
>
> ️ Experience Required: 4+ Years of relevant experience
>
> ⌛ Hiring Timeline: Immediate
>
> Hiring Process: Resume review - Initial screen - Interviews (2)
>
>
>
>
> About the company
>
> Incommon is hiring on behalf of a New York based fast-growing healthcare technology company dedicated to automating tedious administrative activities done by clinical staff in hospitals using AI. We are looking for an enthusiastic Full-cycle AE- to join our early team to drive strong pipeline creation to scale the impact. They have just raised $2.8mn in seed round from renowned global investors to grow the company to the next stage.
>
>
>
>
> About the role
>
> We are looking for an enthusiastic founding engineer to join our early team to drive engineering initiatives to help reduce admin workload at hospitals.
>
>
>
>
> Requirements
>
> - Designing and implementing new product features end-to-end
>
> - Testing new features and deploying them to production
>
> - Maintaining and improving our cloud infrastructure
>
> - Triaging issues that arise in production
>
> - Solving complex technical problems that will unlock massive customer value
>
> - Collaborating closely with co-founders (both-non technical) and senior engineering head to understand business requirements
>
> - Recruiting and training new engineers
>
> - Establishing our engineering culture and working norms
>
>
>
>
> Some Technical Projects you would tackle:
>
> - Re-architecting the Confido platform, especially workflow automation product for scale
> - Designing robust backend architecture to quickly update,
read and analyse customer data and perform specific operations based on that data
> - Managing a fleet of micro-services in our backend which handle specific features, providing value to the end user like payment, patient reach-outs, Electronic Health Record updates, patient data collection and analysis
> - Integrating with EHR, AI, IVR and data analytics products
> - Designing, implementing and maintaining customer-facing APIs
> - Designing, implementing and operating a system that extracts information from electronic medical records for specific dashboarding, core GenAI product implementation etc.
> - GenAI based prompt engineering for text and voice based interactions with patients, payers, medical providers, etc
> - Robotic Process Automation development for data extraction and updation from/on electronic health record systems
>
>
>
>
> What we are looking for:
>
> - Educational Qualifications: Bachelor's, Master's, or Ph.D. in Computer Science, AI, Data Science, or a related discipline.
> - Professional Background: A minimum of 5 years of experience in developing comprehensive full-stack solutions across multiple technology stacks, delivering user-friendly products with a significant user base.
> - Leadership Role: Demonstrated success in a leadership position within a product-focused tech company, ideally exhibiting a growth-oriented mindset. Previous experience as a Technical Co-founder or in a senior leadership role at a major tech company is highly desirable.
> - Team and Individual Excellence: Proven ability to perform exceptionally as an individual contributor,
with a track record of building, managing, and nurturing high-performing teams while maintaining high talent standards.
> - Technical Proficiency: Moderate expertise in contemporary AI technologies (including generative AI), machine learning models, data analytics, and the necessary infrastructure for deploying these models at scale.
> - ML Systems Expertise: Moderate expertise in designing and implementing reliable and highly available AI/ML systems.
> - Effective Communication: Ability to articulate complex data insights in a clear and actionable manner to non-technical stakeholders.
> - Personal Attributes: Highly motivated, proactive,
and a collaborative team player with strong persuasive and influential abilities.
>
>
>
>
> Tech Stack
>
> Backend: NodeJS, Typescript, LLM integration, Google Firebase, Python, interfacing with 3rd party APIs, SQL queries Infrastructure: AWS/Google Cloud/ Docker/ Cl