Applied AI Engineer - Agent

12 months ago

Base Salary

$250k - $300k/yr

Responsibilities

Design and implement agent improvements across prompting, tool selection, action planning, memory, safety guardrails, and recovery paths.
Build offline and online evaluation pipelines, experimentation frameworks, regression suites, behavior tests, and guardrail thresholds.
Productionize function and tool-calling orchestration, self-reflection, retrieval/RAG, multi-agent handoffs, caching, embeddings, and hallucination-reduction techniques.
Improve backend orchestration, retries, backoff, idempotency, auditability, memory and context routing, integrations data pipelines, and agent observability.
Partner with product and infrastructure teams to define success metrics and ship safe iterations.
Write tested code, document design decisions, and maintain runbooks.

4+ years of backend engineering experience, preferably with Python.
Hands-on experience with prompt engineering, function calling, retrieval, embeddings, evaluation design, and shipping LLM features to production.
Experience building evaluation harnesses and using regression suites, task-success metrics, and cost/runtime tradeoffs to drive improvements.
Strong distributed-systems fundamentals, including concurrency, reliability, performance, data modeling, and lifecycle management.
Pragmatic experimentation skills spanning prototyping, measurement, and rollout.
Excellent debugging and instrumentation skills.
Experience with agent frameworks, tool orchestration, memory architectures, production RAG, Redis, Postgres/Supabase, queues, event-driven designs, Datadog, or OpenTelemetry is nice to have.

1-10 employees

The General Intelligence Company is building highly-capable ai agents to run entire businesses autonomously.