Mirigos

Role Summary

We are hiring someone to identify, build, and scale AI-powered workflows that improve internal operations. This role is focused on using AI tools, automation platforms, APIs, and lightweight scripting to reduce manual work, improve speed, and drive measurable business impact.

This is a hands-on role for someone who can understand business problems, design practical solutions, and implement automations that teams actually use.

What This Person Will Do

Identify Opportunities

• Review internal workflows and find repetitive, manual, or inefficient processes
• Spot areas where AI or automation can save time, improve quality, or reduce operational friction
• Prioritize opportunities based on impact, speed to implement, and business value
   

Build automations

• Design and implement AI-powered workflows using LLMs, agents, automation platforms, APIs, and lightweight scripting
• Connect systems such as CRM, support tools, docs, spreadsheets, internal tools, and knowledge sources
• Prototype quickly, test in real workflows, and improve over time
   

Own the workflow layer

• Create prompts, instructions, templates, and reusable workflow components
• Organize the context and information AI systems need to perform well
• Improve reliability, usability, and repeatability of AI workflows
   

Drive adoption

• Roll out solutions to internal teams
• Train users on how to use workflows effectively
• Write lightweight documentation and playbooks
• Gather feedback and improve workflows based on real usage
   

Measure results

• Define success metrics for each workflow
• Track outcomes such as time saved, reduction in errors, faster turnaround times, adoption, and ROI

Qualifications

• Experience in operations, automation, RevOps, BizOps, solutions, enablement, internal tools, consulting, or applied AI work
• Strong ability to identify inefficient workflows and turn them into practical automation opportunities
• Experience building workflows with tools such as Zapier, Make, n8n, Airtable, Notion, Retool, Clay, Glean, OpenAI, Claude, Gemini, or similar platforms
• Comfort working with APIs, webhooks, JSON, spreadsheets, databases, and SaaS integrations
• Ability to use lightweight Python or JavaScript when needed, but this role does not require a traditional software engineer background
• Strong understanding of how to combine AI tools, structured workflows, human review, and business logic
• Good judgment about when to use AI versus standard automation or manual review
• Strong written and verbal communication skills
• Ability to work directly with non-technical stakeholders and translate ambiguous problems into working systems
• Experience documenting workflows, training users, and driving adoption across teams
• Comfort measuring outcomes such as time saved, workflow quality, reliability, and business impact
   

Nice to Have

• Experience with prompt design, evals, or agent workflows
• Familiarity with SQL, dashboards, or workflow reporting
• Experience connecting AI workflows into CRM, support, recruiting, or finance systems
• Experience rolling out new internal systems across teams

What Success Looks Like

A strong candidate for this role will:

• Quickly identify inefficient workflows
• Build useful automations without overengineering
• Connect AI tools to real business processes
• Create workflows that people actually use
• Focus on measurable business outcomes, not just experimentation

Role Summary

We are hiring someone to identify, build, and scale AI-powered workflows that improve internal operations. This role is focused on using AI tools, automation platforms, APIs, and lightweight scripting to reduce manual work, improve speed, and drive measurable business impact.

This is a hands-on role for someone who can understand business problems, design practical solutions, and implement automations that teams actually use.

What This Person Will Do

Identify Opportunities

• Review internal workflows and find repetitive, manual, or inefficient processes
• Spot areas where AI or automation can save time, improve quality, or reduce operational friction
• Prioritize opportunities based on impact, speed to implement, and business value
   

Build automations

• Design and implement AI-powered workflows using LLMs, agents, automation platforms, APIs, and lightweight scripting
• Connect systems such as CRM, support tools, docs, spreadsheets, internal tools, and knowledge sources
• Prototype quickly, test in real workflows, and improve over time
   

Own the workflow layer

• Create prompts, instructions, templates, and reusable workflow components
• Organize the context and information AI systems need to perform well
• Improve reliability, usability, and repeatability of AI workflows
   

Drive adoption

• Roll out solutions to internal teams
• Train users on how to use workflows effectively
• Write lightweight documentation and playbooks
• Gather feedback and improve workflows based on real usage
   

Measure results

• Define success metrics for each workflow
• Track outcomes such as time saved, reduction in errors, faster turnaround times, adoption, and ROI

Qualifications

• Experience in operations, automation, RevOps, BizOps, solutions, enablement, internal tools, consulting, or applied AI work
• Strong ability to identify inefficient workflows and turn them into practical automation opportunities
• Experience building workflows with tools such as Zapier, Make, n8n, Airtable, Notion, Retool, Clay, Glean, OpenAI, Claude, Gemini, or similar platforms
• Comfort working with APIs, webhooks, JSON, spreadsheets, databases, and SaaS integrations
• Ability to use lightweight Python or JavaScript when needed, but this role does not require a traditional software engineer background
• Strong understanding of how to combine AI tools, structured workflows, human review, and business logic
• Good judgment about when to use AI versus standard automation or manual review
• Strong written and verbal communication skills
• Ability to work directly with non-technical stakeholders and translate ambiguous problems into working systems
• Experience documenting workflows, training users, and driving adoption across teams
• Comfort measuring outcomes such as time saved, workflow quality, reliability, and business impact
   

Nice to Have

• Experience with prompt design, evals, or agent workflows
• Familiarity with SQL, dashboards, or workflow reporting
• Experience connecting AI workflows into CRM, support, recruiting, or finance systems
• Experience rolling out new internal systems across teams

What Success Looks Like

A strong candidate for this role will:

• Quickly identify inefficient workflows
• Build useful automations without overengineering
• Connect AI tools to real business processes
• Create workflows that people actually use
• Focus on measurable business outcomes, not just experimentation

Senior Software Engineer, Full-Stack & AI Systems

Role Overview 

We are seeking a Senior Software Engineer to architect and scale our platform-level agentic AI systems. This role combines full-stack engineering excellence with deep expertise in LLM-powered experiences. You’ll design, implement, and optimize core components across frontend, backend, and model integrations, while driving engineering direction in close collaboration with our co-founders. Your work will directly shape the reliability, speed, and cohesion of company’s multi-agent ecosystem.

Key Responsibilities 

• Architect and implement cross-agent systems that power core platform experiences.
• Build and scale full-stack product components using TypeScript/React and Python services.
• Integrate LLMs into production workflows with strong contracts, observability, and test coverage.
• Develop shared UI components and typed SDKs to unify cross-agent experiences.
• Lead engineering direction, collaborating with founders and cross-functional stakeholders.

Requirements

• Senior-level full-stack experience in React, TypeScript, and Python.
• Proven ability to design, ship, and scale LLM-powered applications.
• Expertise in API design, streaming, and CI/CD pipelines.
• Strong cloud infrastructure background (AWS, GCP, or Azure).
• Track record of building reliable systems with measurable performance and error budgets.

Nice-to-Have 

• Experience with WebRTC or audio-aware UI design.
• Hands-on work with agentic AI frameworks.
• History of creating design tokens, SDKs, or cross-agent platforms.

First-Month Focus

• Audit current cross-agent flows for UI/UX cohesion.
• Implement shared components and typed contracts for reliability.

• Establish instrumentation for frontend performance and model round-trip tracing.

   

Success OKRs (90 Days)

• Deliver end-to-end tested, production-grade agentic workflows with <5% error rates.
• Launch cross-agent design system and SDK used by at least 2 internal teams.
• Establish weekly “deploy and measure” cadence with performance metrics and error budgets.
   

Culture Fit

• Persistent, driven problem solver
• Willing to push back on leadership to defend quality/timelines
• Thrives in high-ambiguity, fast-paced startup environments
   

About Us

👏 Team from OpenAI, DeepMind, NASA, GoogleX, Tesla, and 2 physicians: 6 exits, 2 IPOs.

🔥 Our model outperforms Claude, Gemini, and GPT-4.5 on clinical benchmarks.

📈 400+ healthcare orgs signed in 16 months.

⚡️ $25M raised from YC, Amity Ventures, Sequoia scouts, and more.

🌎 $1T+ market opportunity. We’re going after all of it.

Why Join Us?
🔥 Shape the Future of Healthcare: Build category-defining partnerships that enable doctors to focus on saving lives.
📈 Early-Stage Impact: Join early and play a critical role in shaping our partnership roadmap and overall company growth.
🌎 Remote-First Culture: Work with a talented, mission-driven team in a flexible, remote environment.
💰 Competitive Compensation: Enjoy a competitive salary, equity, and the opportunity to make a real difference.
🏆 Solve Scalability Challenges: Tackle complex challenges in a rapidly growing company, driving impactful change in healthcare.

Role Overview 

We are seeking a Senior Software Engineer to architect and scale our platform-level agentic AI systems. This role combines full-stack engineering excellence with deep expertise in LLM-powered experiences. You’ll design, implement, and optimize core components across frontend, backend, and model integrations, while driving engineering direction in close collaboration with our co-founders. Your work will directly shape the reliability, speed, and cohesion of company’s multi-agent ecosystem.

Key Responsibilities 

• Architect and implement cross-agent systems that power core platform experiences.
• Build and scale full-stack product components using TypeScript/React and Python services.
• Integrate LLMs into production workflows with strong contracts, observability, and test coverage.
• Develop shared UI components and typed SDKs to unify cross-agent experiences.
• Lead engineering direction, collaborating with founders and cross-functional stakeholders.

Requirements

• Senior-level full-stack experience in React, TypeScript, and Python.
• Proven ability to design, ship, and scale LLM-powered applications.
• Expertise in API design, streaming, and CI/CD pipelines.
• Strong cloud infrastructure background (AWS, GCP, or Azure).
• Track record of building reliable systems with measurable performance and error budgets.

Nice-to-Have 

• Experience with WebRTC or audio-aware UI design.
• Hands-on work with agentic AI frameworks.
• History of creating design tokens, SDKs, or cross-agent platforms.

First-Month Focus

• Audit current cross-agent flows for UI/UX cohesion.
• Implement shared components and typed contracts for reliability.

• Establish instrumentation for frontend performance and model round-trip tracing.

   

Success OKRs (90 Days)

• Deliver end-to-end tested, production-grade agentic workflows with <5% error rates.
• Launch cross-agent design system and SDK used by at least 2 internal teams.
• Establish weekly “deploy and measure” cadence with performance metrics and error budgets.
   

Culture Fit

• Persistent, driven problem solver
• Willing to push back on leadership to defend quality/timelines
• Thrives in high-ambiguity, fast-paced startup environments

About Us

👏 Team from OpenAI, DeepMind, NASA, GoogleX, Tesla, and 2 physicians: 6 exits, 2 IPOs.

🔥 Our model outperforms Claude, Gemini, and GPT-4.5 on clinical benchmarks.

📈 400+ healthcare orgs signed in 16 months.

⚡️ $25M raised from YC, Amity Ventures, Sequoia scouts, and more.

🌎 $1T+ market opportunity. We’re going after all of it.

Why Join Us?
🔥 Shape the Future of Healthcare: Build category-defining partnerships that enable doctors to focus on saving lives.
📈 Early-Stage Impact: Join early and play a critical role in shaping our partnership roadmap and overall company growth.
🌎 Remote-First Culture: Work with a talented, mission-driven team in a flexible, remote environment.
💰 Competitive Compensation: Enjoy a competitive salary, equity, and the opportunity to make a real difference.
🏆 Solve Scalability Challenges: Tackle complex challenges in a rapidly growing company, driving impactful change in healthcare.