Principal AI Implementation Engineer - Remoto (USA)

Grow UP HR; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

A leading company in insurance technology is seeking an exceptional technical expert to drive customer implementation health through intelligent agent design. This fully remote role requires an extensive background in Python and significant experience with agentic frameworks. You'll create scoring models, validate implementations, and partner with teams to enhance workflows. Join a forward-thinking team dedicated to transforming the insurance industry.

Benefits

PTO

Architectural freedom to build with cutting-edge techniques

Qualifications

• 7+ years of experience with Python.
• Proven experience with agentic frameworks.
• Familiarity with insurance workflows (P&C, underwriting, claims).

Responsibilities

• Design stateful agent systems using Python.
• Build implementation health scoring models.
• Create adaptive validation agents.

Skills

Python

Agentic frameworks

Observable architectures

Implementation health scoring

Excellent verbal communication

Excellent written communication

Education

Bachelor’s Degree in Computer Science or a related field

Tools

Cursor

LangChain

VS Code AI toolchain

OpenTelemetry

Grafana

Prometheus

Job description

We’re pioneering customer implementation health through intelligent agent design.

This is a fully remote based role, however candidates must be located in Argentina or Brazil .

This is a long-term Independent - Contractor position.

Note: please submit your resume in English .

• Develop market-first agentic frameworks using tools like Cursor, Cline, and modern LLM orchestration
• Autonomously validate implementation correctness across dynamic customer environments
• Surface implementation risks through multi-agent debate systems and chain-of-thought verification
• Integrate feedback loops that directly improve customer satisfaction and referral likelihood

What you'll do

• Design stateful agent systems using Python, LangChain, and frameworks for persona emulation
• Buildimplementation health scoring modelsthat combine technical signals with business outcomes
• Create adaptive validation agents that self-modify based on client-specific configurations

Cross-Functional Impact (30%)

• Partner with implementation teams to codify domain expertise into agentic workflows
• Develop visual dashboards showing real-time implementation progress and risk heatmaps
• Contribute directly to core platform code when agentic solutions require upstream changes
• Bachelor’s Degree in Computer Science or a related field
• 7+ years of experience with Python, includingCursor/VS Code AI toolchain mastery
• Proven experience with agentic frameworks (AutoGen, LangGraph, CrewAI)
• Demonstrated expertise in observable architectures (OpenTelemetry, Grafana, Prometheus)
• Excellent verbal and written communication skills, with the ability to thrive in a fast-paced environment
• 2+ years of experience working at a scaling startup
• Familiarity with insurance workflows (P&C, underwriting, claims)

This isn’t traditional QA

• Direct production impact: your systems will actively shape implementation SLAs
• Architectural freedom: build with cutting-edge techniques like: LLM agent swarms, embedding-based health scoring and implementation risk prediction models
• Fully remote
• PTO

Detalles

Fast-growing, forward-thinking company is dedicated to helping Property & Casualty insurers modernize and scale their operations through innovative, cloud-native technology. Its all-in-one software platform supports the full insurance lifecycle—policy, billing, and claims—while offering real-time analytics and digital tools for both agents and policyholders. With a strong focus on continuous improvement and collaboration, the company is transforming the insurance industry. Candidates will join a distributed team passionate about shaping the future of insurance technology.