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Atomic

Founding Forward Deployed Engineer

Atomic

. Build industry-specific GPTs that encode domain expertise for each operating vertical .

Posted 9/16/2026full-timeRemote • United StatesMid-LevelSenior💰 $200,000 - $250,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and shipping domain-specific AI products, with a strong focus on integrating AI-native functionality into existing systems and managing AI talent effectively. Proven ability to work in ambiguous environments and lead projects from conception to deployment.

Highest-signal resume keywords
Production Experience With Frontier And Open ModelsAbility To Build And Ship Products IndependentlyStrong Judgment On Fine-Tuning And Evaluation HarnessesForward-Deployed Engineering ExperienceDemonstrated Solo Or Lead Building Ability

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Product DevelopmentModel Fine-TuningData MigrationEvaluation Infrastructure BuildingQuantitative ReasoningWorkflow RebuildingAgent DevelopmentAI Playbook CreationGitHub ProficiencyProject Management
Soft Skills
Strong JudgmentAbility To Work Comfortably With AmbiguityTeam CollaborationCoaching And Mentoring
Tools & Technologies
ClaudeGPTGeminiAI-Native SystemsLegacy SystemsEvaluation Harnesses
Industry Keywords
Domain ExpertiseAI-Native FunctionalityCustomer WorkflowsOperating VerticalPlayer-Coach Management

About the role

Key responsibilities & impact
  • Build industry-specific GPTs that encode domain expertise for each operating vertical
  • Embed AI-native functionality into AI-native systems of record and replace core workflows
  • Migrate datasets from legacy systems of record into new AI-native systems
  • Create a repeatable AI playbook, model stack, evaluation harness, and infrastructure for future portfolio companies
  • Ship a working domain-specific agent into a live customer environment within the first 30 days
  • Build evaluation infrastructure to measure whether agents replace human workflows
  • Fine-tune, distill, or route across frontier and open models based on vertical economics
  • Observe customer workflows, instrument them, and rebuild them
  • Manage AI talent across operating companies as a player-coach
  • Spend approximately 90% of time building and 10% managing
  • Work in the codebase daily

Requirements

What you’ll need
  • Demonstrated ability to build and ship products used by real people, independently or as the clear technical lead
  • Forward-deployed engineering experience, including willingness to fly to customer sites and work from their offices
  • Strong judgment on when to fine-tune, prompt, use RAG, agents, or evaluation harnesses, supported by quantitative reasoning
  • Production experience with frontier and open models, including Claude, GPT, and Gemini
  • Ability to work comfortably with ambiguity, small teams, and unglamorous industries
  • GitHub link required
  • Resume required
  • List of 3–5 independently or primarily self-built projects required
  • Demonstrated solo or lead building ability required

Benefits

Comp & perks
  • Equity
  • Diverse and inclusive workforce
  • Equal Opportunity Employer