Mighty Bear Games

Artificial Intelligence

• Designing and shipping production-ready AI agent systems that power workflows inside trysecretsauce.ai
• Building and refining agent loops, including planning, tool use, reflection, and retry strategies
• Owning prompt engineering and context engineering as core disciplines, including structured prompts, versioning, template libraries, and few-shot strategies
• Architecting retrieval systems using RAG approaches, including hybrid search, reranking, chunking, and document pipelines
• Designing memory systems, including short-term task memory and long-term user or agent memory across sessions
• Building and maintaining evaluation harnesses, including benchmarks, A/B testing, golden datasets, and regression suites
• Optimising cost and latency using techniques such as prompt caching, KV reuse, streaming, model routing, and response caching
• Building agent infrastructure, including sandboxes, tool wrappers, MCP servers, permission layers, and observability
• Taking features from prototype to production, including logging, error handling, rate limits, and fallback strategies
• Collaborating closely with product and stakeholders to ship reliable, user-facing AI features
• Contributing to system design decisions and engineering best practices.

AI Agent Engineer