AI Engineer

Socure

. Prioritization of High-Impact Automation - Partner with business teams (e.g., Revenue Ops, Marketing, Finance Ops, Talent Acquisition) to catalog manual, high-frequency workflows and rank them by impact, feasibility, and urgency.

Posted 5/20/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $200,000 - $250,000 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Prioritization of High-Impact Automation - Partner with business teams (e.g., Revenue Ops, Marketing, Finance Ops, Talent Acquisition) to catalog manual, high-frequency workflows and rank them by impact, feasibility, and urgency.
Production Agent Design & Development - Build multi-step, tool-augmented agent workflows that can plan, execute, observe outcomes, and iteratively improve. Design and implement planner–executor and reflection-based architectures to enhance reasoning quality and task reliability. Develop stateful agent systems and incorporate human-in-the-loop controls, including approval gates, fallback paths, and escalation mechanisms.
Platform Integration - Leverage the Agentic AI Foundations team's platform covering agent runtime, orchestration, memory, tool registry, guardrails, and observability. Provide feedback that shapes platform priorities.
Innovation & Standards - Leverage LLMs, multi-agent frameworks, and orchestration platforms to create differentiated internal solutions that can't be bought off the shelf. Stay ahead of emerging AI technologies and regulatory frameworks to ensure Socure leads the industry in secure, compliant, and intelligent internal systems.
Technical Patterns - Discover reusable agent design patterns while building real workflows and contribute them back to the Agentic AI Foundations paved paths so the work compounds across Socure.
Operational Excellence - Leverage the evaluation harness and tracing substrate provided by Agentic AI Foundations for continuous performance assessment, failure-mode analysis, and optimization of speed and accuracy of specific agentic solutions.

Requirements

What you’ll need

8+ years of software engineering experience, with at least 2 years focused on AI/ML systems or LLM-powered applications in production.
Deep hands-on experience with LLM APIs and at least one agentic framework (e.g. LangGraph, CrewAI or AutoGen).
Strong Python skills and experience building production-grade backend services, APIs, and data pipelines.
Proven ability to operate in ambiguity: you've walked into an undefined problem space, figured out what to build, built it, and measured the results.
Experience shipping AI/automation solutions that directly impacted business operations.
Strong systems thinking: you design for reliability, observability, and maintainability from day one, not as an afterthought.
Ability to collaborate directly with non-technical business stakeholders to understand their actual workflows and translate those into technical solutions.

Benefits

Comp & perks

Offers Equity
Offers Bonus

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonAI/ML systemsLLM APIsagentic frameworksbackend servicesAPIsdata pipelinesautomation solutionsmulti-agent frameworksorchestration platforms

Soft Skills

prioritizationcollaborationsystems thinkingoperating in ambiguityproblem-solvingcommunicationinnovationadaptabilityanalytical thinkingcontinuous improvement