Related skills
react python go typescript llms📋 Description
- Architect and build end-to-end AI systems (LLM orchestration, retrieval, workflows)
- Lead design of multi-agent and tool-calling systems for production reliability
- Establish scalable, cost-aware, observable AI architectures
- Drive decisions across data modeling, AI pipelines, infra, APIs
- Define governance, evaluation, and monitoring for AI systems in production
- Mentor senior engineers through reviews and debugging
🎯 Requirements
- 12+ years of software engineering with production AI/ML experience
- Proficiency in TypeScript, React, Go, Python, and modern AI frameworks
- Extensive experience with LLMs, including RAG, tool use, prompts, and agentic architectures
- Ability to design and ship large-scale AI systems in real-world environments
- Strong architectural judgment across data, models, infra, and apps
- Deep understanding of AI failure modes: hallucination, drift, latency, cost
🎁 Benefits
- Owning the technical direction of real AI systems in production
- Solving hard, ambiguous problems where architecture and execution matter
- Leading through hands-on building, not layers of process
- Environment that values shipping, learning, and iteration over perfection
- Latitude to shape both systems and how teams build them
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