6 дней назад
Principal AI Engineer - Context - Agents and Context
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal AI Engineer - Context - Agents and Context (AI/TypeScript): Building the Context Engine knowledge layer that enables AI agents to use enterprise data through APIs, MCP tools, retrieval, and memory with an accent on production agent behaviour, evaluation, telemetry, and safe iteration. Focus on diagnosing agent failures, designing golden datasets and evaluators, evolving public APIs and data models, and improving agentic systems through measured production feedback.
Location: Hybrid role available in the United Kingdom, Greece, Ireland, Portugal, Spain, or Sweden. Listed locations include Athens, Barcelona, Dublin, London, and Madrid.
Company
develops the Search AI Platform for search, security, observability, and enterprise data applications.
What you will do
- Own the production improvement loop for the Context Engine, analyzing extraction automations, retrieval tools, memory, customer feedback, evaluations, and telemetry.
- Define safe iteration practices for agents and skills, including versioning, prompt and automation rollouts, regression coverage, staged evaluation, shadow evaluation, and guardrails.
- Design telemetry for agent traces, tool calls, and knowledge retrieval, and connect it to search, evaluations, dashboards, and feedback loops.
- Partner with data scientists on golden datasets and evaluators for quality, latency, and cost.
- Review designs and pull requests, mentor engineers in evaluation-driven development, and write technical proposals that shape the roadmap.
Requirements
- 10+ years of software engineering experience, including recent experience shipping and operating AI-driven products in production.
- Proven experience diagnosing agent or LLM behaviour from traces and user feedback, designing evaluations, shipping fixes, and measuring outcomes.
- Direct experience building agents with state and memory and safely iterating on prompts, skills, and tool behaviour.
- Experience with MCP, public APIs, evolving data models, AI telemetry, and end-to-end product experiments.
- Strong backend engineering skills in Python or TypeScript, including APIs, stateful workflows, data pipelines, and production services.
- Ability to collaborate with data scientists, engineers, and product managers in a distributed, async-first environment.
Nice to have
- Experience with LangGraph, CrewAI, Claude Agent SDK, or similar agent frameworks.
- Agentic retrieval and knowledge representation experience.
- Practical search experience.
Culture & Benefits
- Distributed, async-first work environment with flexible locations and schedules for many roles.
- Competitive pay based on the work performed rather than previous salary.
- Health coverage for employees and families in many locations.
- Generous vacation allowance and at least 16 weeks of parental leave.
- Up to $2,000 matched annually for financial donations and up to 40 volunteer hours per year.
- Responsibilities include following security and privacy policies and 's Secure Software Development Framework.
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