Introduction
You design agent-based AI systems that make a real difference from the idea stage to actual implementation.
Tasks
- You design agent architectures, model harnesses, prompt strategies, and context management for agent-based AI systems.
- You implement retrieval-augmented generation, vector search, and multi-stage orchestration with tool calling and MCP integrations.
- You evaluate generative behavior, security, and failure modes such as hallucinations, and establish monitoring and countermeasures.
- You build reproducible evaluation pipelines and conduct metric-driven experiments.
- You transition solutions into production using MLOps and software engineering practices while remaining closely aligned with users and stakeholders.
- You stay up to date with the state of the art in foundation models and agentic AI and evaluate their potential for use on the platform.