Sobek AI

Software Engineer, Applied AI

Seattle

Work authorization required$170k-$230kDetected 43 days ago
TypeScriptPythonReactBackend DevelopmentSnowflakeAWSDockerKubernetesTerraformgRPCData EngineeringLLMsLLMOps

About the role

  • Our systems are already deployed in mission critical customer environments across 5 countries.
  • The work sits where AI powered workflows meet backend services, enterprise data, observability, and product surfaces.
  • This is a foundational role on the engineering team.

Responsibilities

  • Build AI powered workflows over enterprise and government data, with clear rules for what a model can see, what tools it can call, and when a human needs to review or approve an action.
  • Design context and grounding systems that give models the right information at the right time without violating permissions or performance constraints.
  • Design and ship services, data workflows, permissioning, and orchestration components that multiple Sobek products rely on.
  • Build systems that operate over sensitive data with clear access boundaries, auditability, and predictable performance.
  • Build evals and feedback loops for model behavior and workflow outcomes.
  • Own tracing and runtime visibility across models, context, tool calls, generated outputs.
  • Treat LLMs not as black boxes to call, but as architectural components with failure modes and costs to manage.

Requirements

  • You have strong software fundamentals and are fluent in Python and/or TypeScript.
  • You are comfortable with ambiguity and accompanying ownership.

Skills

  • Take ownership of important product and platform surfaces without needing heavy direction.
  • Write clean, maintainable code and create clear abstractions.

Compensation

  • Compensation: $170 K – $230 K

Benefits

  • Company-paid health coverage (including dependents)
  • Equity: Meaningful ownership for early engineers, with flexibility to extend for exceptional scope and impact.

Company info

  • At Sobek AI, we're building secure AI infrastructure for agentic workflows in life-sciences innovation networks and intergovernmental emergency response. Backed by $10M+ in funding, we work with global, high impact partners on distributed workflows where reliability, security, and trust matter from day one. Our systems are already deployed in mission critical customer environments across 5 countries.
  • We're hiring a software engineer to help build the production systems behind Sobek's core offerings. The work sits where AI powered workflows meet backend services, enterprise data, observability, and product surfaces.
  • This is a foundational role on the engineering team. We're looking for someone who has shipped real software used by customers and has hands on experience building AI systems. You should be able to reason about model behavior, data access, evaluation, and production reliability as engineering problems,.
  • At Sobek AI, we're building secure AI infrastructure for agentic workflows in life-sciences innovation networks and intergovernmental emergency response.
  • Backed by $10M+ in funding, we work with global, high impact partners on distributed workflows where reliability, security, and trust matter from day one.
  • We're hiring a software engineer to help build the production systems behind Sobek's core offerings.
  • We're looking for someone who has shipped real software used by customers and has hands on experience building AI systems.
  • You should be able to reason about model behavior, data access, evaluation, and production reliability as engineering problems,.
  • shipped production LLM or agentic workflows at an AI native startup, scaled AI product company, or serious applied-AI team;
  • built evals or feedback loops that caught real regressions;
  • debugged production failures in agent workflows, especially around grounding, tool use, or model/runtime boundaries;

Visa & Work Authorization

  • We do not sponsor visas for this role at this time
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This listing is sourced directly from Sobek AI's careers page and normalized into a canonical job model.