About Aytza
Aytza is building the future of strategic consulting. We're an AI-native consulting firm that combines deep human expertise with the precision and speed of AI, designed from the ground up for healthcare startup leaders.
We turn the traditional consulting pyramid on its head: a core AI engine powers our data, analysis, and workflows, with humans in the loop to guide judgment and quality. This lets experienced advisors support startups in a leaner, faster, and more scalable way. We are post-product and revenue-positive, actively serving a fast-growing group of client founders navigating complex, high-stakes decisions across the healthcare landscape.
The Role
We're hiring a Senior Staff Engineer to partner directly with our CTO and leadership team to design and build the internal products, data workflows, and AI-powered systems that run Aytza's consulting OS.
This is a hands-on, high-ownership role for someone who thrives on turning messy, ambiguous real-world workflows into reliable software, and who can do it with minimal direction. You'll own significant product areas end-to-end: framing the problem, shaping the approach with the team, making the architectural calls, building across the stack, and hardening the system through a tight feedback loop with the people who use it every day.
You'll operate as a technical leader and individual contributor, not a people manager. This means setting the bar for quality and reliability through your code, making pragmatic architectural tradeoffs, and raising the technical level of the team through your judgment and implementation. You'll work side-by-side with the CTO to shape not just what we build, but the core engineering culture of how we build it.
This is a remote role with the expectation of flexibility to collaborate during East Coast hours and occasional travel for in-person team time. We're a distributed team, but strong real-time collaboration matters at our stage. Note: we cannot sponsor a US work visa.
Where We Are Technically
We've built a set of core internal-facing products that:
- Follow defined workflows to seek, capture, analyze, deliver, and summarize the key datasets that inform strategic decision-making for healthcare companies.
- Apply best-in-class methodologies to synthesize and produce multi-format outputs that support guided client work.
- Standardize the consulting workflow end-to-end - client onboarding, analysis and deliverable creation, and client collateral.
Our current stack spans modern web technologies, AI coding tools, LLM APIs, data pipelines, document processing, and cloud infrastructure. We expect this stack to keep evolving as the product and customer needs evolve.
What You'll Do
- Own product surfaces end-to-end, used by our internal team to run research, analysis, data capture, and client-deliverable workflows. Partner with consultants and product leadership to understand user needs, clarify ambiguous requirements, and ship high-leverage improvements in tight feedback loops.
- Design and build reliable backend workflows for data ingestion, transformation, retrieval, and output generation across messy real-world inputs, including LLM and AI product systems: prompts, retrieval, structured outputs, evaluation loops, and agentic workflows where appropriate.
- Set the standard for reliability, observability, and usability across the systems our team depends on daily.
- Establish and strengthen our SDLC (including debugging, internal QA, and user-QA frameworks).
- Drive pragmatic technical decisions around architecture, data models, APIs, tooling, and implementation tradeoffs, and bring others along on the reasoning.
- Write clear documentation so the team can understand, maintain, and extend what you build.
- Use AI development tools thoughtfully to move fast while maintaining strong judgment, code quality, and review discipline and help set the norms for how the team does the same.
What You'll Bring
Technical Experience
- 8+ years building and shipping production software, with a track record of owning meaningful systems in a startup or fast-moving product environment.
- Deep software fundamentals: you reason fluently about data models, APIs, state, debugging, testing, code quality, access management, and security, and you know which tradeoffs matter and when.
- Strong track record of end-to-end ownership: you can take an ambiguous problem area, define the right approach, and drive it to a reliable, shipped result with little oversight.
- Fluency building modern web products, especially with TypeScript, React, and modern web frameworks.
- Real backend depth, enough to build features end-to-end, work confidently with databases and APIs, and debug issues well beyond the UI.
- Strong AI-native development habits: you use tools like Cursor, Claude Code, or similar to move faster, and you can still read, reason about, and improve the code yourself.
- Sound technical judgment and communication: you make good calls under uncertainty, explain your reasoning, and raise the level of the people you work with.
- Experience building custom coding harnesses, including hands-on agentic coding and loop engineering, to automate and validate complex development workflows.
- Curiosity about LLMs, data workflows, search, retrieval, and document-heavy systems. Direct experience here is a plus, not a requirement.
You'll Stand Out If You Have
- Hands-on experience with LLM APIs or AI-powered products (OpenAI, Anthropic, or open-source models).
- Experience with data ingestion, ETL/ELT, document processing, search, or retrieval systems.
- Experience in healthcare, digital health, life sciences, consulting, or data-heavy professional-services environments.
- Experience building internal tools, workflow software, research tools, or analytics products.
- Experience working with permissioned data, client data, auditability, or regulated-adjacent workflows.
- Experience setting technical direction or providing technical mentorship on a small, high-trust team while remaining focused on individual delivery.
Why Aytza
This role is different because you'll build AI-enabled product infrastructure on a business that is already live, already generating revenue, and already used every day by a highly skilled internal team. That means no waiting around for user feedback; our consultants are sophisticated, engaged, and vocal, which creates an exceptionally tight and productive build-learn-iterate loop.
You'll work on real problems at the intersection of AI, healthcare, consulting, data, and product design, with the autonomy to shape how they get solved. If you want to ship practical, high-leverage software, and set the technical bar for how it's built, with a sharp team and a clear user base, this is the right kind of role.
Compensation
Competitive salary commensurate with experience, depending on location and background.
