M

Forward Deployed Engineer (Agentic AI, Customer Deployment)

meeboss United State
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AI Summary

Build and deploy production multimodal, agentic AI solutions for enterprise customers. Own deployments from scoping through development, integration, and go-live while partnering with customer engineering teams. Strong Python production engineering skills, LLM/agentic AI familiarity, and clear customer-facing communication are required.

Key Highlights
Forward deployed, customer-facing role owning AI deployments end-to-end
Hands-on production engineering for multimodal, agentic AI systems and claims workflow agents
On-site in San Francisco (Mission District) five days per week with US residency; OPT and H-1B transfers supported
Key Responsibilities
Build and deploy multimodal, agentic AI systems in production for enterprise customers.
Scope customer needs, design solutions, write code, integrate systems, and improve results after launch.
Develop AI agents for claims workflows using prompt engineering, model integrations, and AI-assisted coding tools.
Integrate the platform with customer environments through APIs and other systems.
Serve as a primary technical contact for customers and clearly explain technical decisions.
Partner with applied AI and core platform engineers to improve deployments and document learnings.
Technical Skills Required
Python LLMs API integration
Benefits & Perks
Base salary: $165,000–$250,000 plus equity
OPT and H-1B transfers are supported
Nice to Have
Experience in a startup, founding environment, or fast-paced technology company
Early-stage startup, founding engineer, and prior customer-facing engineering experience

Job Description


Forward Deployed Engineer Location: San Francisco, CA · On-site Monday through Friday in the Mission District Employment: Full-time · 8–10 openings Compensation: $165,000–$250,000 base salary plus equity We are seeking Forward Deployed Engineers to build and deploy agentic AI solutions with enterprise customers.


You will own deployments from initial scoping through development, integration, and go-live, working directly with customer engineering teams and senior stakeholders. This is a hands-on role for someone who enjoys writing production code and turning complex customer problems into working solutions. What you’ll do


  • Build and deploy multimodal, agentic AI systems in production.
  • Scope customer needs, design solutions, write code, integrate systems, and improve results after launch.
  • Develop AI agents for claims workflows using prompt engineering, model integrations, and AI-assisted coding tools.
  • Integrate the platform with customer environments through APIs and other systems.
  • Serve as a primary technical contact for customers and explain technical decisions clearly.
  • Partner with applied AI and core platform engineers to improve deployments and document what the team learns.


What you’ll bring


  • Two to five years of experience in a technical role using Python, including building and shipping production code.
  • Strong software engineering fundamentals, including data structures, algorithms, and system design.
  • Familiarity with LLMs, prompt engineering, and agentic AI.
  • Experience working directly with customers or in a product-oriented engineering role.
  • Experience in a startup, founding environment, or fast-paced technology company.
  • Strong communication skills and a STEM degree.


Early-stage startup, founding engineer, and prior customer-facing engineering experience are especially valuable. Work location and visa support This role requires working in the San Francisco Mission office five days a week. Candidates must currently reside in the United States. OPT and H-1B transfers are supported.


The interview process has four steps. When applying, please highlight your experience with Python, production deployments, LLMs or agentic AI, customer-facing engineering, and startup environments.


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