Agent UI - Full Stack

Sumo Logic
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Automation of Tests
Big Data
Software as a Service
Cloud Engineering
Code Review
Continuous Integration
Distributed Systems
Interaction Design
Python
Operational Data Store
Open Source Technology
Performance Tuning
Service Design
Session Management
Software Construction
Software Systems
TypeScript
Management of Software Versions
Web Applications
Data Logging
Cloud Platform System
React
Large Language Models
Multi-Agent Systems
Reliability of Systems
Backend
Build Management
Information Technology
Integration Frameworks
Sumo Logic
Front End Software Development
REST
Api Management
Microservices

Job description

Our microservices architecture, hosted on AWS, ingests petabytes of data daily across multiple geographic regions. Millions of queries a day analyze hundreds of petabytes of data., As a Senior Full Stack Software Engineer II, you will design and build rich, interactive agent-driven user experiences and the backend systems that power them. You will work on Model Context Protocol (MCP) integrations, structured tool definitions, agent orchestration services, and scalable APIs that enable AI agents to reason over complex observability and security datasets.

This role spans modern web application architecture, distributed backend systems, and cloud-native service design. You will own features end-to-end - from interaction design and API contracts to deployment, monitoring, and long-term maintainability., * Design and build agent-driven UI experiences that enable users to interact with AI agents, tools, and workflows in intuitive and transparent ways.

  • Develop backend services for MCP and tool orchestration, including tool registries, structured tool descriptions, context injection, and agent execution pipelines.
  • Implement and maintain APIs and microservices that support agent communication, session management, memory handling, and observability integrations.
  • Define and standardize tool schemas and metadata contracts to ensure consistent, secure, and scalable tool invocation across heterogeneous systems.
  • Collaborate cross-functionally with ML engineers, product managers, UX designers, and platform teams to deliver end-to-end AI-powered capabilities.
  • Ensure system reliability and scalability through automated testing, monitoring, performance optimization, and production readiness best practices.
  • Design cloud-native architectures on AWS, leveraging containerization, CI/CD pipelines, and distributed systems patterns.
  • Own features end-to-end, from technical design and implementation to deployment, monitoring, and iterative improvement.
  • Continuously improve usability and developer experience, making agent capabilities explainable, observable, and controllable for end users.

Requirements

  • B.Tech, M.Tech, or equivalent experience in Computer Science or a related field.

  • 4-6+ years of industry experience building production-grade software systems with end-to-end ownership.

  • Strong proficiency in:

  • Frontend technologies (React, TypeScript, modern UI frameworks)

  • Backend development (Python, Java, or similar)

  • RESTful APIs and microservices architecture

Experience designing and building scalable backend systems in cloud environments (AWS preferred).

Working knowledge of LLM applications, agent systems, or MCP-like architectures.

Experience designing well-defined APIs and service contracts, including schema validation and versioning.

Familiarity with distributed systems concepts, observability, logging, and monitoring.

Strong understanding of software engineering best practices: testing, CI/CD, code reviews, performance tuning.

Excellent communication skills and ability to collaborate across disciplines., * Experience building agent UI systems, chat-based workflows, or AI-assisted product experiences.

  • Familiarity with Model Context Protocol (MCP) or similar agent communication standards.
  • Experience designing tool registries, plugin systems, or extensible integration frameworks.
  • Exposure to LLM Ops, agent orchestration frameworks, or prompt/tool evaluation systems.
  • Experience working in high-scale SaaS environments with large data volumes.
  • Mentorship experience guiding junior engineers and influencing engineering best practices.
  • Contributions to open-source projects or technical publications in AI systems, developer platforms, or distributed architectures., Must be authorized to work in the United States at the time of hire and for the duration of employment. At this time, we are not able to offer new non-immigrant visa sponsorship for this position.

About the company

Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness-combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com. Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

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