Jobs in the United States

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Added 1 min ago
Member of Product Staff
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Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity.
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…government, defense, and intelligence projects. Join GDIT as a Cloud Engineer DevOps Lead for a career where your growth is just as important as the mission you…
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- $100,000 to $110,000 USD / year
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Added 14 mins ago
Senior Software Engineer (Agent Experience)
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The Avaya Infinity™ platform unifies fragmented customer experiences, connecting the channels, insights, technologies, and workflows that together create enduring customer and employee…
Added 16 mins ago
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…cases, artificial intelligence (AI) agents for exceptions, and engineer approval to deliver measurable improvements in cycle time, rework, and…
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Core Senior .NET Software Engineer
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Automated Test Engineer
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Data Engineer
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Data Engineer, Security Analytics
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As a Data Engineer, you’ll join the Security team and build the data and automation capabilities that underpin our security program. You’ll work across Security to design scalable data…
Added 37 mins ago
Manager Knowledge Based Engineering - Supply Chain
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Chicago, IL
…cases, artificial intelligence (AI) agents for exceptions, and engineer approval to deliver measurable improvements in cycle time, rework, and…
Added 37 mins ago
Agentic AI Engineer (Xora Portfolio Company)
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Remote, United States
This role builds the layer every LLM-powered feature on our platform is built on: one interface over many model providers, the agent orchestration that runs multi-step workflows, the…
Added 37 mins ago
Senior AI Engineer (Xora Portfolio Company)
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Remote, United States
This role owns the LLM systems behind our platform: the agents and fine-tuned models that ship as product, and the engineering that keeps them reliable - evaluation, tracing, and…
Added 37 mins ago
Senior Data & ML Infrastructure Engineer (Xora Portfolio Company)
Xora Innovation
Remote, United States
This role builds and operates the data and machine-learning infrastructure the platform runs on: the pipelines that turn large-scale scientific output into data models can train on, and the…
Added 37 mins ago
Senior Platform Engineer, Cloud (Xora Portfolio Company)
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Remote, United States
Strong software-engineering fundamentals and hands-on coding in a systems or backend language (Go, Python, Rust, or similar): this role builds the platform in code.
Added 38 mins ago
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…team - including direct oversight of the Principal Quality Engineer, AI Controls Engineering role - , manages critical partnerships and contracts, and champions continuous process…

Avaya

Senior Software Engineer (Agent Experience)

United States

The pay range for this opportunity is from $134,925 to $180,000 + benefits.

Apply on careers.avaya.com About employer

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Job details

Pay: The pay range for this opportunity is from $134,925 to $180,000 + benefits.
Posting language: English
Posted: Nov 13, 2026

Original job description

About Avaya

Avaya is an enterprise software leader that helps the world’s largest organizations and government agencies forge unbreakable connections.

The Avaya Infinity™ platform unifies fragmented customer experiences, connecting the channels, insights, technologies, and workflows that together create enduring customer and employee relationships.

We believe success is built through strong connections – with each other, with our work, and with our mission. At Avaya, you'll find a community that values your contributions and supports your growth every step of the way.

Learn more at https://www.avaya.com

Position Overview

Join Avaya’s Agent Experience team to build the agent desktop for Avaya Infinity, our flagship enterprise omnichannel contact-center platform. The desktop brings together real-time voice and digital interactions, integrated modules, extensions, and CRM capabilities into a reliable agent workspace.

You will deliver features across a React/TypeScript desktop and Go/Rust backend services, applying strong computer science fundamentals to state management, client/server coordination, messaging, and media integration. Our platform serves deployments from small environments to large enterprises, running on Kubernetes across Azure AKS and Google GKE, with on-premises support planned.

We expect hands-on experience with agentic AI development, using tools such as Codex or Cursor to move from rapid prototypes to well-designed, verified production software.

Responsibilities

Build features across the agent desktop and supporting services, partnering with product, design, and platform teams.
Define where state belongs and how clients and services synchronize, recover from failures, and preserve user work.
Design session and media ownership across tabs, browsers, virtual desktops, and embedded clients, preventing conflicting actions.
Develop real-time communication and media integrations, selecting appropriate APIs, streaming, and messaging patterns.
Build extensibility and CRM integrations with clear contracts for lifecycle, shared context, permissions, and failure isolation.
Make observability part of the experience through connection and media health indicators, useful diagnostics, and correlated client/backend telemetry.
Deliver accessible, responsive, secure applications with meaningful tests covering critical workflows, concurrency, and recovery.
Use AI agents effectively, contribute to architectural decisions, mentor engineers, and support production systems.

Required Experience

Computer science fundamentals and first-principles reasoning: strong understanding of concurrency, networking, and distributed systems, with the ability to explain tradeoffs and turn designs into production software.
Full-stack delivery: experience building complex, stateful applications across clients and services. Hands-on backend experience, with Go/Rust proficiency or demonstrated ability to become productive quickly.
Front-end engineering: strong React, TypeScript, and browser fundamentals, including asynchronous behavior, component architecture, state synchronization, performance, and accessibility.
Real-time reliability: experience with persistent connections, concurrent sessions, state ownership, event ordering, idempotency, reconnects, and partial failures.
Integration design: experience with APIs, event-driven interfaces, modular applications, authentication and authorization, and working knowledge of databases and caching.
Observability and quality: ability to investigate issues across browser, network, and service boundaries using logs, metrics, traces, and automated tests.
Cloud delivery: experience with automated build and deployment pipelines, containers, and working familiarity with Kubernetes.
Collaboration and ownership: ability to clarify ambiguous requirements, coordinate across teams, and own software through production operation.

Agentic AI Development

Prior hands-on experience with coding agents is required, along with the ability to rapidly deepen that capability.
Work prompt-first, providing clear requirements, codebase context, architectural constraints, and verification criteria.
Choose the right approach for the task: AI pair programming, delegated implementation, multiple agents, or rapid prototyping and spikes.
Guide agents through implementation and testing, critically evaluate their output, and rework prototypes into production-grade designs.
Own the correctness, security, maintainability, and performance of delivered software, following company policies for AI use.

Preferred Experience

Contact-center or other real-time communications applications, including voice and digital interaction workflows.
WebRTC and browser media integration, including diagnostics for jitter, packet loss, and latency.
Multi-instance coordination, Citrix environments, desktop extensions, client SDKs, or CRM integrations such as Salesforce.
Production Go or Rust; WebSockets, SSE, NATS, or comparable messaging technologies.
OpenTelemetry, AKS/GKE, and on-premises deployments.

Education

Bachelor degree or equivalent experience in Computer Science or Engineering

Pay Transparency

The pay range for this opportunity is from $134,925 to $180,000 + benefits. This range represents the anticipated low and high end of the salary plus bonus for this position. Actual total compensation will vary and is based on factors such as a candidate’s qualifications, skills, and competencies.

Sponsorship and Equal Opportunity

Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Avaya is an Equal Opportunity employer and a U.S. Federal Contractor. Our commitment to equality is a core value of Avaya. All qualified applicants and employees receive equal treatment without consideration for race, religion, sex, age, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other protected characteristic. In general, positions at Avaya require the ability to communicate and use office technology effectively. Physical requirements may vary by assigned work location.

This job brief/description is subject to change. Nothing in this job description restricts Avaya right to alter the duties and responsibilities of this position at any time for any reason.

Apply on careers.avaya.com About employer

More about this job

Skills

React
TypeScript
Go
Rust
Computer science
Kubernetes
Microsoft Azure
Industrial software
Communication skills
Analyse issues
Collaboration
Salesforce

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Work requirements

Jobs in the United States