Agentic AI Deployment Engineer

MeeBoss; San Francisco (CA); On-site; USD 165,000 - 250,000; Full time

Benefits offered by this job

Equity

Startup environment

Direct customer engagement

Job summary

MeeBoss is seeking an engineer to build and deploy agentic AI systems for enterprise customers, owning deployments from scoping through go-live. This hands-on role requires writing production code and turning complex customer problems into working solutions.

The ideal candidate has 2–5 years in a technical Python role, strong CS fundamentals, familiarity with LLMs, and experience collaborating with customers in a startup or fast-paced tech environment. OPT/H-1B transfers are supported.

Qualifications

• Two to five years of experience in a technical role using Python, including 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.
• OPT and H-1B transfers are supported.

Responsibilities

• 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.

Skills

Python

Data structures

Algorithms

System design

Prompt engineering

Agentic AI

Customer collaboration

Communication skills

Education

STEM degree

Job description

MeeBoss is seeking an engineer to build and deploy agentic AI systems for enterprise customers, owning deployments from scoping through go-live. This hands-on role requires writing production code and turning complex customer problems into working solutions.

The ideal candidate has 2–5 years in a technical Python role, strong CS fundamentals, familiarity with LLMs, and experience collaborating with customers in a startup or fast-paced tech environment. OPT/H-1B transfers are supported.