Backend Engineer, AI Platform

Jobtailor; San Jose (CA); On-site; USD 160,000 - 230,000; Full time

Job summary

Jobtailor is seeking an experienced architect to design and build event-driven backend services and APIs that connect laboratory instruments, cloud infrastructure, and AI agents into a unified platform.

You will craft scalable data and context management for LLM-powered systems, including retrieval pipelines, memory, and tool integration frameworks, while coordinating orchestration across diverse AI agents and devices.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
• 7+ years of experience designing, building, and supporting distributed backend systems and APIs.
• Proven experience developing and operating event driven architectures, microservices, and cloud native applications on AWS/Azure/GCP.
• Hands-on experience building LLM-powered applications or multi-agent systems, including orchestration and tool integration.
• Strong expertise in API design and scalable backend architecture.
• Ability to rapidly prototype new solutions with a clear path to production quality enterprise implementations.
• Willingness to travel up to 15% domestically and internationally.

Responsibilities

• Architect and develop event-driven backend services and APIs connecting laboratory instruments, cloud infrastructure, and AI agents into a unified platform.
• Design scalable data and context management solutions for LLM-powered systems, including retrieval pipelines, memory, state management, and tool integration frameworks.
• Build and maintain orchestration services coordinating planning, execution, monitoring, and recovery across heterogeneous AI agents, devices, and software systems.
• Define and govern data contracts, integration standards, and observability practices for reliable, secure, and resilient communication across instrument fleets and platform services.
• Rapidly prototype and evaluate emerging AI and agent technologies.
• Mature successful solutions into production-ready capabilities meeting performance, reliability, and compliance requirements of regulated customer environments.
• Report to the Senior Manager, Software Engineering - Automation as part of the R&D Software team.

Skills

Event-Driven Architecture

API Design

Distributed Systems

Cloud-Native Applications

Prototyping

LLM-Powered Applications

Multi-Agent Systems

Production-Ready Implementations

Travel up to 15%

Education

Bachelors or Masters in CS/SE

Tools

AWS

Azure

GCP

Job description

• Architect and develop event-driven backend services and APIs connecting laboratory instruments, cloud infrastructure, and AI agents into a unified platform


• Design scalable data and context management solutions for LLM-powered systems, including retrieval pipelines, memory, state management, and tool integration frameworks


• Build and maintain orchestration services coordinating planning, execution, monitoring, and recovery across heterogeneous AI agents, devices, and software systems


• Define and govern data contracts, integration standards, and observability practices for reliable, secure, and resilient communication across instrument fleets and platform services


• Rapidly prototype and evaluate emerging AI and agent technologies


• Mature successful solutions into production-ready capabilities meeting performance, reliability, and compliance requirements of regulated customer environments


• Report to the Senior Manager, Software Engineering - Automation as part of the R&D Software team

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field


• 7+ years of experience designing, building, and supporting distributed backend systems and APIs


• Proven experience developing and operating event driven architectures, microservices, and cloud native applications using platforms such as AWS, Azure, or GCP


• Hands‑on experience building LLM-powered applications or multi‑agent systems, including orchestration, tool integration, retrieval architecture, and context management


• Strong expertise in API design and scalable backend architecture


• Ability to rapidly prototype new solutions while maintaining a clear path to production quality enterprise ready implementations


• Ability to travel up to 15% domestically and internationally

Core Competencies

Demonstrates expertise in architecting and developing event-driven backend services and APIs, with a strong focus on scalable data management solutions for LLM-powered systems. Proven ability to design and implement reliable, secure, and resilient communication standards across diverse platforms and instruments.

Highest-signal resume keywords

• Event Driven Architecture


• API Design


• Cloud Native Applications


• LLM-Powered Applications


• Microservices

Hard Skills

• Backend Development


• Distributed Systems


• Data Management


• Orchestration Services


• Tool Integration


• Context Management


• Prototyping


• Performance Optimization


• Compliance Requirements


• Integration Standards

Industry Keywords

• Laboratory Instruments


• AI Agents


• R&D Software


• Regulated Environments

Tools & Technologies

• AWS


• Azure


• GCP