Jade Global Logo

Jade Global

Software AI Engineer

Reposted 2 Months Ago
In-Office
San Jose, CA, USA
Senior level
In-Office
San Jose, CA, USA
Senior level
Design, develop, and implement AI/ML models, manage AI solutions on cloud platforms, and collaborate with teams to optimize models.
The summary above was generated by AI
Software AI Engineer2

Experience: 6 - 8 yrs

Location:

1 - US Bay Area

1 - US Remote

Key Responsibilities:
* Design, develop, and implement AI/ML models and algorithms using Python.
* Deploy and manage AI solutions on cloud platforms (e.g., AWS, Azure, GCP).
* Collaborate with data scientists and other engineers to integrate AI models into existing systems.
* Optimize AI models for performance, scalability, and cost-efficiency.
* Stay up-to-date with the latest advancements in AI/ML technologies and cloud services.
* Participate in the full software development lifecycle, including testing, deployment, and monitoring.
 

HQ

Jade Global San Jose, California, USA Office

2001 Gateway Pl, San Jose, California, United States, 95110 1076

Similar Jobs

Yesterday
Remote or Hybrid
Sunnyvale, CA, USA
189K-280K Annually
Senior level
189K-280K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Architect and build production-quality machine learning software for imitation-learning-based autonomous driving behavior. Develop scalable data preparation, training, evaluation, simulation, and deployment workflows; optimize CPU/GPU and distributed performance; integrate reinforcement learning and model interfaces; and improve reproducibility, testing, and reliability. Lead cross-team technical initiatives and mentor engineers while ensuring consistency across training, simulation, and on-vehicle inference.
Top Skills: C++Closed-Loop SimulationDistributed TrainingGpuGpu ProfilingMl Runtime OptimizationModel CompilationModel DeploymentPythonPyTorchReinforcement Learning
Yesterday
Remote or Hybrid
150K-262K Annually
Senior level
150K-262K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead architecture and delivery of complex AI-native software features for Flow, including agent runtimes, tool use, prompt and context layers, retrieval, and evaluation systems. Establish AI-assisted development practices, mentor engineers, set standards for quality and observability, partner across product and engineering, and own production readiness, reliability, governance, and defect triage.
Top Skills: Agentic ArchitecturesAi AgentsEvaluation HarnessesLlmsMulti-Tenant SaasPrompt EngineeringRetrieval-Augmented GenerationTypescript
Yesterday
Remote or Hybrid
172K-301K Annually
Senior level
172K-301K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads architecture and delivery of AI-native software for ServiceNow Flow, including agent runtimes, tool use, prompt and context layers, retrieval, evaluation, reliability, and governance. Defines AI-assisted development practices, mentors engineers, establishes quality and observability standards, partners cross-functionally, and owns production quality, defect triage, release readiness, and technical direction.
Top Skills: Agentic ArchitecturesEnterprise SaasEvaluation HarnessesLlmsMulti-Tenant SystemsPrompt EngineeringRetrieval SystemsTypescript

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