Чётко описанная роль в заметной продуктовой AI-компании даёт возможность работать над production-системами агентов, хотя широкий набор требований от бэкенда до фронтенда может растянуть обязанности.
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Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, Agents (AI) (Python/Agent Systems): Building scalable AI-driven agent systems that autonomously execute workflows, orchestrate multi-step tasks, and integrate with enterprise data and services with an accent on agent memory, decision logic, security, and high-throughput APIs. Focus on designing distributed agent infrastructure, integrating vector databases and retrieval systems, and ensuring reliability through observability, testing, and CI/CD.
Location: London, UK; hybrid workplace.
Company
Writer is an AI platform that helps enterprise marketing and revenue teams use autonomous agents, enterprise knowledge, governance, and compliance to execute buyer-journey workflows.
What you will do
Design, build, and maintain scalable, secure agent-driven services that autonomously accomplish tasks.
Develop high-throughput APIs and infrastructure for agent memory, communication channels, skills, decision logic, security, and workflow management.
Integrate agents with backend services, data stores, vector databases, search and retrieval systems, and external APIs.
Collaborate with product managers, AI researchers, data engineers, and UX teams to turn agent use cases into production-ready software.
Ensure reliability, monitoring, observability, fault tolerance, metrics, logging, and CI/CD for agent components.
Contribute to architecture decisions and rigorous code reviews.
Requirements
3+ years of professional software engineering experience, including 3+ years of Python in production.
Daily professional use of native agentic coding tools such as Cursor, Claude Code, or similar platforms.
Experience building distributed systems, microservices, or complex backend APIs supporting AI or agent workflows.
Expertise integrating AI models, agent frameworks such as LangGraph or Agent Harness, vector databases, and large-context reasoning services.
Understanding of agent orchestration patterns, state management, and asynchronous workflows.
Experience with AWS, GCP, or Azure; Docker or Kubernetes; and operational engineering practices.
Knowledge of performance optimization, testing frameworks, and CI/CD pipelines.
Experience building AI agents that coordinate multi-step actions, reasoning, or autonomous decision-making loops.
Contributions to open-source agent toolkits or SDKs, plus excellent communication and collaboration skills.
Experience with React and TypeScript for agent-management interfaces.
Culture & Benefits
Full-time employment with hybrid work in London, UK.
Generous paid time off and company holidays.
Comprehensive medical and dental insurance, paid parental leave for all parents for 16 weeks, and fertility and family-planning support.
Competitive pension scheme with company contribution.
Annual wellness and learning-and-development stipends.
Company and team off-sites, competitive compensation, and company stock options.
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