Stoke Space
Senior AI Software Engineer
Kent, Washington; Remote (US) · Senior
Sponsorship not specifiedDetected 32 days ago
TypeScriptReactNext.jsFull-Stack DevelopmentCode ReviewPostgreSQLVector DatabasesAWSDockerKubernetesTemporalGraphQLKafkaMachine LearningLLMsRAGAgentic AIAI OrchestrationCadenceCommunicationCollaboration
About the role
- If you want to work alongside some of the most dedicated and talented people on Earth, we'd love to have you join us.
- Description Reusable launch systems are the key to seamlessly connecting Earth and space.
- An instrumental ingredient to making reusable launch vehicles is the ability to move fast.
Responsibilities
- Design and implement agentic systems and workflows that automate complex, multi-step manufacturing and engineering processes
- Build and maintain RAG pipelines leveraging vector databases to enable intelligent search and retrieval
- Develop comprehensive evaluation frameworks (evals) to measure, monitor, and improve AI system performance, accuracy, and reliability
- Create developer tooling, SDKs, and internal platforms that accelerate AI adoption across the engineering organization
- Design end-to-end features across the stack using React, TypeScript, GraphQL, and Postgres
- Lead technical design discussions and contribute to architectural decisions for AI-powered features
- Partner with pr oduct an d hardware teams to identify high-impact opportunities for AI augmentation
- Mentor engineers on AI/ML best practices through code reviews, pairing, and design collaboration
Requirements
- 4+ years of professional software development experience
- Experience designing and implementing evaluation frameworks for LLM-based systems
- Proficiency with full-stack development: TypeScrip t, Rea ct, GraphQL, and relational databases
- Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks
- Comfort working in a fast-paced, evolving environment with a focus on delivering impact
- Hands-on experience building agentic systems, autonomous workflows, or AI-powered automation
- Experience building RAG architectures, integrating vector databases, and deploying semantic search implementations
Nice to have
- Degree in computer science or related field/experience
- Experience with prompt/context engineering and fine-tuning
- Familiarity with Next.js, Apollo (Client/Se rver), H asura, or similar
- Experience with Docker, Kubernetes/ECS, and AWS infrastructure
- Familiarity with event-driven architectures using Temporal, Kafka, or similar
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