Forward Deployed AI Engineer

Defense Unicorns

Forward Deployed AI Engineer at Defense Unicorns. Join a team building modern defense software delivery for rapid and reliable capabilities.

Posted 5/8/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $148,750 - $201,250 per yearWebsite

Tech Stack

Tools & technologies

CloudETLPythonTypeScript

About the role

Key responsibilities & impact

Embed with strategic customers as a technical partner, working from problem discovery to solution implementation and customer adoption.
Architect, build, deploy, and operate agentic Generative AI systems: APIs, data processing ETL pipelines, integration layers, Retrieval Augmented Generation, and context engineering.
Work in cloud, on-prem, and edge/air-gapped environments to ensure software can run where the mission demands.
Prototype and deploy systems leveraging the core products and design patterns of the Unicorn Delivery Service (UDS); bring back insights from the field for continuous product improvement.
Scope, sequence, and lead delivery of solutions: define living roadmaps, set priorities, trade off speed vs quality vs scope, work across internal teams and customer stakeholders to drive clarity and remove blockers early.
Codify reusable patterns for mission environments: build tools, internal frameworks, playbooks so future deployments are faster, safer, and repeatable.
Act as the technical face to customer leadership: communicate effectively with both technical and non-technical stakeholders, build trust, manage expectations, and ensure successful scale and mission adoption. This is a customer-facing role.
Ability and interest to travel up as needed to client sites, but flexible based on personal preferences.

Requirements

What you’ll need

3+ years of engineering or technical deployment experience (backend or full-stack), ideally in customer-facing or government environments (DoD, intelligence, public sector) or analogous high-assurance contexts.
Strong backend engineering skills: production-grade code in Python or TypeScript; deep familiarity with designing services, APIs, data pipelines, integrations, and backend frameworks.
Familiarity with LLMs or generative AI systems — be able to explain the fundamentals of Context Engineering and understand how model behavior connects to product/mission experience, and how AI capabilities integrate into larger system architectures.
Strong ability to work in ambiguity: define scope, sequence work, make trade-offs between speed, quality, and scope; remove blockers; deliver under pressure in dynamic mission-driven settings.
Excellent communication skills: able to translate complex technical details into clear messaging for non-technical stakeholders; work cross-functionally; build relationships with customers and internal teams.
Mission-oriented mindset. Have an understanding that our work is supporting the defense and freedom of the nation.

Benefits

Comp & perks

Medical/Dental/Vision
Premiums are 100% Company Paid
Health Reimbursement Account
Life Insurance
Disability Insurance
401k Retirement Plan
Company Stock Options
Home Office Budget
Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s
Paid Parental Leave
Reimbursement for approved trainings/subscriptions
Conferences (travel, lodging, and fees)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonTypeScriptAPIsdata processingETL pipelinesRetrieval Augmented Generationcontext engineeringbackend frameworksproduction-grade codegenerative AI systems

Soft Skills

communication skillsability to work in ambiguityrelationship buildingcustomer-facingmission-oriented mindsetproblem discoverysolution implementationleadershipclarityremoving blockers