AI Platform Engineer - Autonomous Agents

United Kingdom, Ukraine, Poland - Engineering - Full-time - Senior

Glassbox's mission is to reveal the insights that empower organizations to deliver exceptional digital customer experiences.

Glassbox is a leading force in shaping digital experiences. It helps organizations uncover digital issues, boost conversion rates, enhance accessibility, prevent fraud, and more. Leveraging AI-driven customer intelligence, Glassbox enables enterprises to deliver secure, proactive, and preventative digital experiences. Its solutions are trusted by highly regulated organizations, including SoFi, Cal, and many others. We are growing and have been recognized by G2 as one of 2024's Top 50 Software Companies in the world.

We are building an
AI-native R&D platform
that transforms how engineering teams operate.

Our vision is to move from reactive workflows to
intelligence-driven systems
, where AI agents are embedded across the entire software development lifecycle - from code to production.

These agents will both:

• Work alongside engineers as copilots
• Operate independently as autonomous systems

We are looking for a
hands-on AI Agent Engineer
to design and build production-grade AI systems that integrate deeply into engineering workflows.

This is not a research role and not a prompt-engineering role.

You will build real systems that:

• Are used daily by engineers
• Run independently and take action
• Deliver measurable impact on speed, quality, and reliability

• Design and build
  AI agents
  that:
  • Assist engineers in real-time (copilot mode)
  • Operate autonomously and take actions (self-sufficient mode)
• Develop
  end-to-end agent workflows
  across systems such as:
  • CI/CD pipelines
  • Code repositories
  • Observability and monitoring tools
  • Support and ticketing systems
• Build core components:
  • RAG pipelines (retrieval, embeddings, vector databases)
  • Tool-integrated agents (APIs, services, workflows)
  • Agent orchestration, memory, and state management
• Turn LLM capabilities into
  production-grade systems
  by:
  • Handling failures, retries, and edge cases
  • Managing latency, cost, and scalability
  • Implementing observability (e.g., Langfuse or similar)
• Work closely with engineering teams to ensure:
  • Real adoption
  • Seamless integration into workflows
  • Balance between autonomy and human control

• Strong backend or platform engineering experience (2–5+ years)
• Proven experience building and deploying
  LLM-based agents in production
• Hands-on experience with:
  • Lang Chain, Lang Graph, or similar frameworks
  • LLM APIs (OpenAI, Anthropic, etc.)
  • RAG systems (vector DBs, embeddings, retrieval pipelines)
  • Tool-based agents (APIs, workflows, automation)
• Experience with Claude (Anthropic), including Claude Code - mandatory
  • Used as part of development workflows or integrated into systems
  • Not limited to chat usage
• Experience with observability tools such as
  Langfuse
  (or similar)
• Strong coding skills in
  Type Script or Python

• Experience building
  multi-agent or autonomous systems
• Background in Dev Ops, CI/CD, QA, or Dev Ex platforms
• Experience with event-driven systems (Kafka, queues)
• Experience integrating AI into:
  • Code review
  • Testing / QA
  • Incident analysis

• You think in
  systems and workflows
  , not just prompts
• You are comfortable going from
  idea to production
• You care about
  impact, reliability, and real-world usage

You’ll be building the foundation of an
AI-native engineering platform
, where:

• Agents are first-class components across R&D
• Systems are autonomous, connected, and continuously improving
• Engineering teams are augmented - not replaced - by AI

This is an opportunity to shape how modern engineering organizations operate in the AI-first era.

Note:

This role excludes non-relevant application steps. Interested candidates should submit a resume and Linked In profile link.