Senior Forward Deployed AI Engineer

True Talent Solutions Partners

San Francisco (CA)

Presencial

USD 180.000 - 300.000

Jornada completa

Hace 3 días
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Descripción de la vacante

True Talent Solutions Partners is seeking an experienced software engineer to own customer implementations from requirements through deployment in an on-site SF role. You will work with enterprise customers to define technical solutions, ship AI agents and automations, and bring customer-specific solutions back into the core platform.

The role blends hands-on coding with customer scoping, requiring full-stack skills in Python/TypeScript, and prior startup or consulting experience.

Formación

  • Three to six years of software engineering, forward deployed, solutions, implementation, or product engineering experience.
  • Experience regularly working with customers to scope, build, and deploy solutions, alongside strong hands-on coding skills.
  • Full-stack proficiency and experience with Python and/or TypeScript.
  • Startup or software consulting experience, preferably at a venture-backed company.
  • Experience building or deploying production AI/ML automations or agentic workflows; familiarity with LLM automation pipelines is a plus.
  • Ability to manage enterprise deployments, switch between customer communication and focused engineering work, and take ownership in a fast-moving environment.
  • A degree from a highly regarded university or comparable academic background.
  • Insurance or financial services experience is helpful.

Responsabilidades

  • Own customer implementations from requirements gathering through deployment.
  • Work with enterprise customers after the sale to understand business problems and define technical solutions.
  • Build and ship AI agents and automations, often within the same week as initial customer conversations.
  • Bring successful customer-specific solutions into the core platform.
  • Partner with product and engineering teams to shape scalable features from customer insights.

Conocimientos

Software engineering
Python
TypeScript
Full-stack
Customer-facing
Hands-on coding

Educación

Bachelor's degree

Herramientas

Python
TypeScript
LLM pipelines

Descripción del empleo

About the Role

Join an engineering team building AI workflow automation for the insurance industry. In this hands-on, customer-facing role, you will understand enterprise brokerage workflows, build solutions on the platform, and help turn successful implementations into scalable product capabilities. The work is roughly 70% coding and 30% customer scoping.

What You'll Do
  • Own customer implementations from requirements gathering through deployment.

  • Work with enterprise customers after the sale to understand business problems and define technical solutions.

  • Build and ship AI agents and automations, often within the same week as initial customer conversations.

  • Bring successful customer-specific solutions into the core platform.

  • Partner with product and engineering teams to shape scalable features from customer insights.

What We're Looking For
  • Three to six years of software engineering, forward deployed, solutions, implementation, or product engineering experience.

  • Experience regularly working with customers to scope, build, and deploy solutions, alongside strong hands-on coding skills.

  • Full-stack proficiency and experience with Python and/or TypeScript.

  • Startup or software consulting experience, preferably at a venture-backed company.

  • Experience building or deploying production AI/ML automations or agentic workflows; familiarity with LLM automation pipelines is a plus.

  • Ability to manage enterprise deployments, switch between customer communication and focused engineering work, and take ownership in a fast-moving environment.

  • A degree from a highly regarded university or comparable academic background.

  • Insurance or financial services experience is helpful.

Compensation & Benefits

Salary range is $180,000 to $300,000 USD annually. Visa sponsorship is available.

Location

On-site, five days per week in San Francisco, California, United States.

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