AI Platform Engineer - Autonomous Agents

The Company

Glassbox's mission is to empower enterprises to shape trusted, frictionless digital 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. The Opportunity
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

What You Will Do?


• 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



What You Will Need?


• Strong backend or platform engineering experience (2–5+ years)

• Proven experience building and deploying  LLM-based agents in production

• Hands-on experience with:


• LangChain, LangGraph, 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  TypeScript or Python

Preferred


• Experience building  multi-agent or autonomous systems

• Experience designing  human-in-the-loop workflows

• Background in DevOps, CI/CD, QA, or DevEx platforms

• Experience with event-driven systems (Kafka, queues)

• Experience integrating AI into:


• Code review

• Testing / QA

• Incident analysis



Who You Are


• A  builder  - you ship systems end-to-end

• 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

Why Join Us
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. At Glassbox, we value curiosity, ownership, and a constant drive to learn and improve, no matter the gender, nationality, religion, or background. We believe diverse perspectives make us better, and that potential matters just as much as experience, and encourage people of all shapes and sizes to apply.
If this role excites you and you're motivated to make an impact - we'd love to hear from you, even if you don't meet every listed qualification.