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AI Agent Engineer
Mighty Bear GamesAI Agent Engineer responsible for designing and shipping AI agent systems at trysecretsauce.ai. Collaborate with teams to ensure reliable, user-facing features and product integration.
Tech Stack
Tools & technologiesPythonTypeScript
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- Production experience building LLM-powered or agent-based applications
- Hands-on expertise in at least three of the following: Agent architectures, Prompting or context engineering, Tool use, Retrieval or RAG systems, Evaluation design, Memory systems, Prompt or response caching
- Strong software engineering fundamentals, including API design, concurrency, testing, and debugging production systems
- Fluency in TypeScript is required, and working knowledge of Python is preferred
- A strong bias toward empirical, metrics-driven development, including evaluation, latency, and token cost optimisation
- Comfort operating in the space between model behaviour and product UX.
Benefits
Comp & perks- We welcome applications from candidates of all backgrounds and are committed to building an inclusive environment.
ATS Keywords
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Hard Skills & Tools
AI agent systemsprompt engineeringcontext engineeringretrieval systemsRAG approachesevaluation designmemory systemsAPI designTypeScriptPython
Soft Skills
collaborationempirical developmentmetrics-driven development