Embedding VC Logo

Embedding VC

Backend Software Engineer

Posted 10 Days Ago
Hybrid
Palo Alto, CA, USA
Senior level
Hybrid
Palo Alto, CA, USA
Senior level
Develop and maintain scalable backend services for an AI platform, integrate and optimize LLM and generative AI technologies, build APIs on Google Cloud, and improve performance and reliability for real-time customer engagement workflows. Collaborate with marketing, sales, and product teams while proposing innovative backend and AI solutions in a fast-paced startup environment.
The summary above was generated by AI

LiveX AI · Backend Software Engineer
Palo Alto, CA · Full-time, on-site · Department: Engineering
Source: https://livex.ai/careers/backend-software-engineer (posted May 27, 2026)

About the Role

LiveX AI is seeking a Backend Software Engineer to develop and enhance the backend systems behind its AI platform, which provides real-time, personalized customer engagement, faster problem-solving, and proactive support. Design scalable, efficient infrastructure for AI agents so they deliver VIP-level service in every customer interaction.

Responsibilities
  • Design, develop, and maintain robust, scalable backend services that power AI-driven customer engagement solutions.

  • Implement and integrate AI models, including LLM technologies, to deliver personalized, seamless customer interactions.

  • Optimize backend systems for performance, scalability, and reliability to support real-time AI-driven workflows.

  • Collaborate with cross-functional teams (marketing, sales, product) to refine AI-powered solutions.

  • Stay current on emerging AI and backend technologies; propose and implement innovative solutions.

Qualifications
  • 5+ years of professional backend software engineering experience.

  • Proven expertise in Large Language Models (LLMs), Generative AI, or similar advanced AI technologies.

  • Hands-on experience with open-source LLM frameworks and tools, including deployment and optimization.

  • Proficiency with cloud services (especially Google Cloud) and API development.

  • Strong programming skills in Python and Go; clean, efficient, maintainable code.

  • Passion for using technology to drive business innovation and improve customer experiences.

  • Comfortable in ambiguous, rapidly evolving environments; proactive, adaptable.

  • Fast learner with a startup mentality; takes initiative in a dynamic, fast-paced team.

Nice-to-Haves
  • Experience with modern AI voice agent systems (strong plus).

What We Offer
  • Work with a groundbreaking AI technology company in a collaborative, innovative, dynamic environment.

  • Competitive salary and benefits package; career growth in a rapidly expanding sector.

Compensation

Not specified ("competitive salary and benefits package").

How to Apply (original posting)

Email [email protected] with subject "Candidate Application - Backend Software Engineer"; include resume, a cover letter explaining fit, and any relevant portfolio items.

Similar Jobs

3 Days Ago
Remote or Hybrid
San Francisco, CA, USA
165K-250K Annually
Senior level
165K-250K Annually
Senior level
Cloud • Digital Media • News + Entertainment • On-Demand
Build and operate Philo’s ML and LLM infrastructure, including AWS and Kubernetes platforms, GPU scheduling, model serving, inference optimization, monitoring, evaluation, experimentation, and CI/CD. The role establishes infrastructure best practices, reliability, security, scalability, and Infrastructure as Code while supporting recommendation, video classification, and agent workloads. It also involves collaborating with engineers and vendors to deploy, instrument, and manage production systems.
Top Skills: AirflowAlbAmazon BedrockAnthropicAWSC++CloudFormationCloudwatchDagsterDatadogDnsDockerDvcElasticacheElbElkFeastFluentdGitlabGoGrafanaHTTPIamInfluxdbJavaScriptJenkinsKubeflowKubernetesLakefsLinuxLitellmMetaflowMlflowNlbNvidia TritonOpenaiPgvectorPineconePrometheusPythonRagRayRdsRoute 53RubySqsTcp/IpTectonTensorrt-LlmTerraformTgiTickTypescriptVllmVpcWeaviateWeights & Biases
3 Days Ago
In-Office or Remote
94104, San Francisco, CA, USA
227K-227K Annually
Entry level
227K-227K Annually
Entry level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build reliable backend software features and services for Atlassian’s Focus Funds and AI team. Responsibilities include developing REST APIs, configuring backend service monitoring, creating CI/CD pipelines, and integrating platforms with Atlassian’s content management system.
Top Skills: Artificial IntelligenceBackend ServicesCi/CdContent Management SystemsMonitoringRest Apis
3 Days Ago
In-Office or Remote
94104, San Francisco, CA, USA
197K-197K Annually
Entry level
197K-197K Annually
Entry level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Designs, builds, tests, deploys, and operates core identity services. Responsibilities include monitoring SLOs, participating in on-call and incident response, automating manual processes, conducting design and code reviews, mentoring peers, improving documentation, and applying security and privacy principles to authorization workflows.
Top Skills: Authorization WorkflowsCi/CdIdentity ServicesSlo MonitoringThreat Modeling

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account