Senior AI Software Engineer

Stoke Space is building Nova, a fully reusable launch vehicle aimed at creating a scalable space industry. As a Senior AI Engineer on the Boltline team, you will design and deploy intelligent systems to enhance manufacturing processes and integrate AI capabilities into production systems.

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
• Integrate LLM APIs and orchestration frameworks into production applications
• 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 product and hardware teams to identify high-impact opportunities for AI augmentation
• Mentor engineers on AI/ML best practices through code reviews, pairing, and design collaboration
• Participate in Boltline Operational Excellence including participating in on-call rotation and other operational activities

Requirements:

• 1-5 years of professional software development experience
• Hands-on experience building agentic systems, autonomous workflows, or AI-powered automation
• Experience building RAG architectures, integrating vector databases, and deploying semantic search implementations
• Experience designing and implementing evaluation frameworks for LLM-based systems
• Proficiency with full-stack development: TypeScript, React, GraphQL, and relational databases
• Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks
• Proven ability to own features from concept through deployment and iteration
• Excellent collaboration and communication skills within cross-functional teams
• Comfort working in a fast-paced, evolving environment with a focus on delivering impact
• Degree in computer science or related field/experience
• Experience with prompt/context engineering and fine-tuning
• Background in building developer tools, CLIs, or internal platforms
• Familiarity with Next.js, Apollo (Client/Server), Hasura, or similar
• Experience with Docker, Kubernetes/ECS, and AWS infrastructure
• Familiarity with event-driven architectures using Temporal, Kafka, or similar
• Hands-on experience with observability and monitoring for AI systems
• Exposure to manufacturing, aerospace, or complex physical systems
• Interest in aerospace/manufacturing workflows