Senior AI Software Engineer
MaC Venture Capital is a seed-stage venture capital firm investing in founders building transformative companies across sectors like space, fintech, fashion tech, robotics, and more.
About MaC Venture Capital
MaC Venture Capital is a seed-stage venture capital firm that invests in founders building ambitious, culture-defining companies. Their portfolio spans diverse industries, including companies like Stoke Space (reusable rockets), Pipe (embedded financial solutions), Finesse (fashion trend data analytics), and Chef Robotics (AI-enhanced food manipulation hardware). The firm positions itself as a 'conviction investor,' emphasizing deep engagement with founders and teams beyond just capital, offering strategic partnership and support through company milestones. MaC serves early-stage startup founders across a range of technology and consumer sectors, with a stated focus on backing bold, culture-defining companies.
Skills
About the Role
You'll design, build, and deploy intelligent systems that augment Boltline's platform capabilities—from agentic workflows that automate complex manufacturing processes to RAG pipelines that surface critical institutional knowledge. You'll architect evaluation frameworks to ensure AI reliability, build developer tooling that empowers the team, and integrate LLMs into production systems that accelerate hardware development. You'll balance fast execution with robust, production-grade engineering while collaborating closely with product and hardware teams.
Requirements
- 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
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 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 on-call rotation and other operational activities
Benefits
- Equity in the form of stock options
- Comprehensive benefits program including subsidized medical, dental, and vision insurance
- Company-paid life and disability insurance
- 401(k) plan with employer match
- 4 weeks' Paid Time Off
- 10 days of holidays including an end-of-year closure
- Paid Family/Parental Leave
- On-site gym or monthly wellness stipend
- Dog friendly offices