Software Engineer

Summary

exacare ai is a health tech company building an AI operating system for post-acute care. The Software Engineer will develop user-facing, full-stack features across the development lifecycle, improve existing systems, and support production software. The role involves collaborating with engineering, product, design, operations, platform, ML, and customer-facing teams to solve healthcare workflow problems.

Responsibilities

• Take ownership of well-defined features and improvements—from understanding requirements through implementation, testing, rollout, and support—with guidance from experienced engineers
• Learn how software architecture, data models, APIs, and integrations connect to real healthcare workflows, and use that understanding to inform your work
• Develop full-stack features using TypeScript, PostgreSQL, and modern cloud tooling on AWS, helping customers navigate complex healthcare workflows
• Write tests, participate in code reviews, and follow observability and deployment practices that help the team deliver reliable software
• Use shared components and established patterns, contribute improvements to existing systems, and identify opportunities to simplify code and workflows
• Work with engineering, product, operations, platform, and ML teammates to solve customer problems, ask thoughtful questions, and build your skills through feedback and hands-on experience

Skills

• Bachelor's degree in computer science or similar technical field
• 2+ years of engineering experience with a focus on building highly scalable distributed systems
• Self-starter – you are comfortable rapidly learning new technologies and turning a high-level task into a game plan
• Demonstrated ability to triage and prioritize production incidents efficiently
• Ownership mentality and resourcefulness
• Organized, high attention to detail, with emphasis on quality code, automation, validation and testing
• Experience with AWS, LLMs, TypeScript, PostgreSQL
• Strong ability to translate technical concepts into accessible language for cross-functional teams and stakeholders
• Experience with building automated workflows
• Experience building applied AI features or working with LLM infrastructure
• Experience with healthcare workflows, care-setting variability, or regulated environments
• Experience with EHR integrations or health data standards
• Experience with operational tooling or onboarding/support-heavy product surfaces
• Experience building reusable patterns or frameworks that help teams move faster
• Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience)

Qualifications

Must Haves

• Bachelor's degree in computer science or similar technical field
• 2+ years of engineering experience with a focus on building highly scalable distributed systems
• Self-starter – you are comfortable rapidly learning new technologies and turning a high-level task into a game plan
• Demonstrated ability to triage and prioritize production incidents efficiently
• Ownership mentality and resourcefulness
• Organized, high attention to detail, with emphasis on quality code, automation, validation and testing
• Experience with AWS, LLMs, TypeScript, PostgreSQL
• Strong ability to translate technical concepts into accessible language for cross-functional teams and stakeholders
• Experience with building automated workflows

Nice to Haves

• Experience building applied AI features or working with LLM infrastructure
• Experience with healthcare workflows, care-setting variability, or regulated environments
• Experience with EHR integrations or health data standards
• Experience with operational tooling or onboarding/support-heavy product surfaces
• Experience building reusable patterns or frameworks that help teams move faster
• Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience)

Benefits

• Competitive salary and equity in a high-growth startup
• Flexible PTO, take what you need
• Medical, dental, and vision coverage
• ChatGPT premium
• Company off-sites