Enterprise AI Engineer (TypeScript) – Frontline Deployment

FullStack; Frankfort (KY); Remote; USD 130,000 - 210,000; Full time

Benefits offered by this job

Remote work

Paid time off

Health/dental/vision insurance

401(k) with match

Career advancement opportunities

Continuing education

Job summary

FullStack is hiring Forward Deployed Engineers who embed with client teams to architect and build AI-enabled solutions that actually run in production. You will test hypotheses with executives and translate them into working systems that integrate with client workflows and delivery pipelines.

You’ll own the discovery, design, and delivery lifecycle, collaborating with enterprise stakeholders and risk/engineering teams to ensure value, reliability, and deployment success.

Qualifications

• 5+ years of professional software development experience with at least one mainstream production stack.
• Advanced English is required for collaboration with enterprise partners.
• 1-4 years of experience building and shipping LLM-powered AI systems beyond prototypes or demos.
• Proven ability to lead client-facing discovery calls and define technical roadmaps.
• Experience with APIs, service design, event-driven and distributed systems.

Responsibilities

• Discover by running workshops with business and engineering stakeholders.
• Map current state and turn it into actionable specifications for AI systems.
• Architect and design end-to-end agentic systems and integration layers.
• Build working systems: agents, multi-step automations, internal tooling, deployment pipelines.
• Own CI/CD: build, test, release, environments.
• Present decisions to CTOs/VPs and support pre-sales scoping.

Skills

Software development

Advanced English

LLM-powered AI systems

Client-facing discovery

End-to-end delivery

Education

Four-year college degree

Tools

Cursor

Claude Code

Gemini CLI

OpenAI Codex

Job description

FullStack is hiring Forward Deployed Engineers who embed with client teams to architect and build AI-enabled solutions that actually run in production. You will test hypotheses with executives and translate them into working systems that integrate with client workflows and delivery pipelines.

You’ll own the discovery, design, and delivery lifecycle, collaborating with enterprise stakeholders and risk/engineering teams to ensure value, reliability, and deployment success.