Senior AI Software Engineer

About the role

Join us as a Senior AI Engineer on the Boltline team, where you’ll design, build, and deploy intelligent systems that enhance our platform's capabilities. From automating complex manufacturing processes to surfacing critical institutional knowledge, you’ll play a pivotal role in shaping the future of space transportation.

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
• Create comprehensive evaluation frameworks (evals) to measure, monitor, and improve AI system performance, accuracy, and reliability
• Build developer tooling, SDKs, and internal platforms that accelerate AI adoption across the engineering organization
• Integrate LLM APIs and orchestration frameworks into production applications
• 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

Qualifications

• 4+ 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

Preferred Qualifications

• 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