GoCharting is a web-native charting and trading workflow platform, and they are seeking a Senior / Principal Applied AI Engineer to enhance their AI capabilities. The role involves building AI systems, integrating LLMs, and developing in-product AI features while ensuring observability and security compliance.
Responsibilities:
- Build AI agents and agentic workflows from scratch - agent loops, tool-calling, structured outputs, planning and state, retries and guardrails - and the orchestration/harness layer on top of existing LLM providers via API (Anthropic, OpenAI, open-weight models, MCP). You write the agent, not just its config
- Ship internal AI automations that remove real toil - e.g. triaged, automated engineering-workflow and pull-request review across the tools we already run (GitHub, Slack, Intercom, Jira), support deflection, and social/market listening - integrating an off-the-shelf tool where the need is commodity, and building bespoke where it isn’t
- Build in-product AI capabilities with Product and Core Platform Engineering - bespoke pipelines for the trading terminal and developer experience where no off-the-shelf option fits (this side is build-heavy). You prototype it, then productionize it with the platform team
- Own the buy-vs-build call - integrate and measure an existing platform first for commodity internal needs; build or replace it internally when it’s differentiating or becomes cost-prohibitive. Ship outcomes, not architecture debates
- Put evaluation, observability, and cost guardrails on everything - golden datasets, eval harnesses, tracing, fallback chains, latency and spend controls. Nothing ships as an unmeasured demo
- Operate inside our security and AI governance - SOC 2 / ISO track and an approved-tooling allowlist - handling source code, customer data, and product data responsibly