Variance Logo

Variance

Forward Deployed AI Engineer

Reposted Yesterday
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
This role involves developing AI integration strategies for enterprise clients, building GenAI workflows for large-scale data, and maintaining customer relationships.
The summary above was generated by AI

Role

At Variance, we are teaching machines to make the hardest judgement calls at scale. That means building AI agents for the high-stakes gray-area of risk investigations, fraud, and identity reviews.

We’re a small, talent-dense team in San Francisco, with former founders and talent from top AI labs. Our customers include several Fortune 500s, global marketplaces, and regulated financial institutions. If you thrive on extreme ownership, moving fast, and working directly with founders, you’ll feel at home here.

This is an in-person position. Our office is located in San Francisco, CA.

What will your day-to-day look like

  • Own the end-to-end integration strategy of Variance to our enterprise customers

  • Understand and partner with customers to understand their needs and set their strategy with Variance

  • Build GenAI-powered agentic workflows and automation for billion-scale events

  • Serve as the primary, ongoing technical point of contact for our users

Requirements

  • Outstanding communication and interpersonal skills, with the ability to work effectively in a team-oriented environment

  • Past experience working with LLM solutions, and a deep understanding of GenAI

  • Strong Coder with proficiency in Python, Java, Typescript, or similar

  • Self-directed and comfortable working with ambiguity

What we offer

  • Health care: we offer platinum-level medical, dental, and vision insurance

  • Unlimited PTO, sick leave, and parental leave

  • Up to $100 in reimbursement for personal health & wellness expenses each month

  • Free lunch and dinner

  • 401(k) plan

Similar Jobs

18 Days Ago
In-Office
2 Locations
182K-242K Annually
Mid level
182K-242K Annually
Mid level
Cloud • Information Technology • Machine Learning
Embed with customer AI teams to design, prototype, and productionize AI agents using W&B Weave. Advise on architecture, build reference implementations and demos, run technical workshops, gather field feedback for product roadmap, and troubleshoot customer environments.
Top Skills: Hugging FaceLangchainLlamaindexLlmsPythonPyTorchTensorFlowVector DatabasesW&B Weave
20 Days Ago
In-Office
San Jose, CA, USA
198K-248K Annually
Senior level
198K-248K Annually
Senior level
Artificial Intelligence • Cloud • Software • Big Data Analytics
Embed with strategic enterprise customers to prototype, build, and productionize full-stack generative AI and agentic applications; advise on AI strategy, codify repeatable solution patterns, mentor teams, and channel field feedback to product. Focus on scalable, secure AI architectures and LLM/MLOps practices to operationalize RAG, fine-tuning, semantic search, and agentic workflows.
Top Skills: Agentic WorkflowsAWSAzureClouderaContext EngineeringDistributed Ai WorkloadsFine-TuningFoundation ModelsGCPGenerative AiIcebergInference OptimizationLlmopsMlopsModel ServingNifiNvidia GpusRetrieval-Augmented Generation (Rag)Semantic SearchSpark
3 Days Ago
Remote or Hybrid
USA
148K-215K Annually
Mid level
148K-215K Annually
Mid level
Artificial Intelligence • Cloud • Events • Productivity • Software • Business Intelligence • Conversational AI
Own strategic enterprise deployments of production agentic AI systems, including multi-turn voice and digital agents, retrieval pipelines, integrations, guardrails, monitoring, evaluation, and ROI measurement. Support pre-sales demonstrations and proof-of-concept builds while translating customer feedback into product and engineering roadmap improvements. The role requires hands-on production coding, customer-facing technical leadership, and comfort operating in an emerging forward-deployed engineering function.
Top Skills: Agent OrchestrationAPIsCcaasEpicHipaaLlmsPciPythonRetrieval-Augmented Generation (Rag)SalesforceSbcServicenowSipTypescriptUcaasWebrtc

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