Lexoga Logo

Lexoga

Forward Deployed Engineer

Posted Yesterday
Remote
Hiring Remotely in United States
60K-180K Annually
Mid level
Remote
Hiring Remotely in United States
60K-180K Annually
Mid level
Work directly with customers to design, deploy, and integrate end-to-end AI evaluation pipelines. Curate data, define annotation schemes, set up LLM-based judges, run initial experiments, produce actionable results, and translate technical systems into practical workflows for users.
The summary above was generated by AI
About the Role

We’ve partnered with a YC-backed AI startup to find a Forward Deployment Engineer who will work directly with their customers to set up robust evaluation processes using internal tooling. You’ll play a key role in designing and deploying AI evaluation infrastructure, helping customers integrate evaluation pipelines into their workflows, and making sure their systems produce measurable, reliable outcomes.

What You'll Do
  • Work hands-on with customers to establish end-to-end evaluation pipelines

  • Help with data curation, define annotation schemes, and set up LLM-based judges

  • Set up and run initial evaluation experiments, producing actionable results

  • Integrate the evaluation tooling with customers' existing infrastructure

  • Translate technical systems into practical, usable workflows for end users

You Might Be a Fit If You
  • Enjoy working at the intersection of engineering, product, and customer needs.

  • Have prior experience working with RAG, LLM pipelines, and agents

  • Can navigate ambiguous setups and build structure in complex AI workflows

About US

Lexoga One helps early-stage and high-growth startups find exceptional engineering and AI talent. We work with some of the most ambitious teams in tech to help them scale by finding the right people, fast. Each role on Lexoga One is curated with deep insight into the team, tech, and impact.

Note: We're hiring on behalf of a YC-backed AI startup. Selected candidates will receive company details in the next step.

Salary Range

$60k - $180k USD

Similar Jobs

Yesterday
In-Office or Remote
203K-348K Annually
Expert/Leader
203K-348K Annually
Expert/Leader
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Partner with healthcare clients to discover, design, and deliver production-grade AI/LLM solutions. Architect cloud-native systems, build and deploy ML/LLM applications, prototype rapidly, troubleshoot distributed systems, and lead client engagements to drive measurable business outcomes while collaborating across product, platform, and engineering teams.
Top Skills: APIsAWSAzureClaudeCodexGCPLlmsMachine LearningPrompt Engineering
Yesterday
In-Office or Remote
149K-255K Annually
Senior level
149K-255K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Build and deploy AI-powered, LLM-based solutions in client environments: implement integrations, develop production-ready code, support cloud deployments, prepare data and prompts, troubleshoot, and collaborate with client and cross-functional teams while documenting and transferring knowledge to enable sustainable production adoption.
Top Skills: APIsAWSAzureClaudeCodexData PipelinesDistributed SystemsGCPJavaLlmsPrompt EngineeringPythonSQL
7 Days Ago
Remote
United States
165K-350K Annually
Mid level
165K-350K Annually
Mid level
Artificial Intelligence • Legal Tech
Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.
Top Skills: APIsLlmsPythonSdksTypescriptWebhooksWorkflow Automation

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