Member of Technical Staff

Sainapse Inc

$135K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong software-engineering fundamentals with proven experience in shipping production systems.
  • Fluency in a modern backend language; experience with Python or TypeScript preferred.
  • Comfort with APIs, relational data, and asynchronous systems.
  • Experience with testing and cloud infrastructure is a plus.
  • Practical understanding of large language model (LLM) applications and their complexities.
  • Ability to communicate directly and tackle tasks independently, without explicit lists.

Responsibilities

  • Build shared platform capabilities, including context models, integration frameworks, and deployment primitives.
  • Develop reliable backend and product systems using APIs and event-driven architectures.
  • Integrate enterprise systems such as CRMs, ERPs, and helpdesks with customer infrastructures.
  • Enhance production AI systems' accuracy, latency, observability, and security while managing costs.
  • Collaborate with customers to transform integration patterns into usable products, promoting self-serve onboarding.
  • Oversee systems post-launch, ensuring proper instrumentation and incident management.
  • Leverage AI coding tools efficiently while upholding engineering standards.

Benefits

  • Competitive salary and meaningful equity.
  • Visa sponsorship available for eligible candidates.
Full Job Description
The role

As a Member of Technical Staff at Sainapse, you will build the shared platform that turns enterprise customer workflows into reliable software. You will own difficult product and systems problems across agentic workflows, data, integrations, and enterprise infrastructure.

Your primary responsibility is the product and platform. You will work directly with customers when it clarifies what to build; Forward Deployed Engineers own scoped customer POCs, implementation, and production launch.
What you'll do
  • Build shared platform capabilities: customer-context models, integration and tool frameworks, permissions, evaluations, and deployment primitives.
  • Build reliable backend and product systems across APIs, event-driven workflows, data models, and user-facing tools.
  • Integrate with CRMs, ERPs, helpdesks, inboxes, document pipelines, and customer-owned infrastructure.
  • Improve the accuracy, latency, observability, security, and cost of production AI systems.
  • Work with customers and FDEs to turn repeated integration and workflow patterns into reusable product. Help build self-serve onboarding as the platform matures.
  • Own systems after launch: instrumentation, failures, incident response, and iteration.
  • Use AI coding tools aggressively while maintaining clear engineering judgment and accountability.
What we look for
  • Strong software-engineering fundamentals and evidence that you have shipped production systems.
  • Fluency in at least one modern backend language; Python and TypeScript are especially relevant.
  • Comfort with APIs, relational data, asynchronous systems, testing, and cloud infrastructure.
  • Practical understanding of LLM applications: retrieval, tool use, structured outputs, evals, and failure modes.
  • Ability to reason from first principles, communicate directly, and operate without a detailed task list.
  • Care for customer outcomes as much as elegant architecture.

Experience with enterprise integrations, document processing, workflow engines, ML systems, security, or early-stage startups is useful but not required.
What success looks like

You ship systems customers can trust, reduce the time from a real workflow problem to production, and leave behind abstractions that make the next deployment faster.
What we offer

Competitive salary and meaningful equity. Visa sponsorship available.

This is a full-time, on-site role in San Francisco.

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