Job Summary:
We are seeking a Senior AI Platform Engineer with a strong backend or platform engineering background to build and enhance AI platform capabilities supporting agentic applications and AI workflows. The role involves developing backend services, APIs, microservices, and distributed systems while designing observability, monitoring, governance, and usage-tracking capabilities for AI agents. The engineer will contribute hands-on to production AI-powered applications, collaborate with engineering teams to improve architecture and operational excellence, and evaluate emerging AI technologies to help shape the team's technical direction.
Key Responsibilities:
• Build and enhance AI platform capabilities that support agentic applications and AI workflows.
• Develop backend services, APIs, microservices, and distributed systems that power AI solutions.
• Design and implement observability, monitoring, tracing, governance, and usage-tracking capabilities for AI agents.
• Build agent orchestration and supervision frameworks using tools such as LangSmith and Langfuse.
• Collaborate with engineering teams to improve AI application architecture, deployment, and operational excellence.
• Develop automation and workflow solutions that improve developer productivity.
• Evaluate emerging AI technologies and contribute to the team's technical direction.
• Collaborate with stakeholders and provide well-supported technical opinions and recommendations.
• Support internal developers, customers, and enterprise applications through platform engineering capabilities.
• Remain hands-on with daily coding and contribute to production software development.
• Apply lessons learned from previous enterprise environments to improve platform capabilities and engineering practices.
Required Qualifications:
• 7+ years of software engineering experience with a strong backend or platform engineering background.
• Experience building and supporting AI-powered applications or agent-based solutions in production environments.
• Strong backend development experience with Java, Python, JavaScript, and/or TypeScript.
• Experience designing APIs, microservices, distributed systems, and cloud-native applications.
• Platform engineering experience supporting internal developers, customers, or enterprise applications.
• Experience with AI observability, monitoring, tracing, or governance capabilities.
• Excellent communication skills, with the ability to influence stakeholders, challenge assumptions, and drive constructive change.
• Experience working in large enterprise environments.
• Ability and willingness to remain hands-on and contribute code daily.
Preferred Qualifications:
• Experience with LangSmith, Langfuse, LangGraph, CrewAI, AutoGen, or similar agent frameworks.
• Experience building multi-agent systems or agent orchestration platforms.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures and vector databases.
• Experience with customer usage analytics, telemetry, or product observability.
• Exposure to workflow automation platforms such as Kogito, Camunda, Temporal, or similar technologies.
• Experience with Kubernetes, Docker, AWS, and modern cloud architectures.
• Previous experience working on platform teams or developer enablement initiatives.
• Open-source AI contributions or strong involvement in emerging AI technologies.
