AI Engineer

Socure Inc.

Job Overview

Location

Remote - US

Job Type

Full-time

Full Job Description

📋 Description

• Design and develop multi-step, tool-augmented agentic workflows that plan, execute, observe outcomes, and iteratively improve to automate high-frequency manual processes across sales, marketing, finance, talent acquisition, and legal teams.
• Partner directly with non-technical business stakeholders to catalog, prioritize, and translate manual workflows into high-impact AI-driven automation solutions based on impact, feasibility, and urgency.
• Build stateful agent systems with human-in-the-loop controls including approval gates, fallback paths, and escalation mechanisms to ensure reliability and compliance in enterprise operations.
• Leverage Socure’s Agentic AI Foundations platform — including agent runtime, orchestration, memory, tool registry, guardrails, and observability — to accelerate development and provide feedback that shapes platform evolution.
• Design and implement planner–executor and reflection-based architectures to enhance reasoning quality, task reliability, and operational accuracy of internal AI agents.
• Discover, document, and contribute reusable agent design patterns to the Agentic AI Foundations paved paths, enabling cross-team compounding of engineering work across the organization.
• Utilize the provided evaluation harness and tracing substrate to conduct continuous performance assessment, failure-mode analysis, and optimization of speed and accuracy for deployed agentic solutions.
• Stay ahead of emerging AI technologies and regulatory frameworks to ensure Socure’s internal AI systems remain secure, compliant, and industry-leading in safety and privacy.
• Integrate LLMs, multi-agent frameworks, and orchestration platforms to create differentiated, in-house AI solutions that cannot be satisfied by off-the-shelf tools.
• Operate autonomously in ambiguous, undefined problem spaces — identifying opportunities, defining scope, building solutions, and measuring business impact without predefined requirements.
• Collaborate with the Agentic AI Foundations team to ensure seamless integration of internal tools with platform primitives, driving pull-through demand that informs platform roadmap priorities.
• Apply systems thinking to design for reliability, observability, and maintainability from day one, ensuring long-term scalability and operational efficiency of AI-powered workflows.
• Implement secure, privacy-preserving AI systems aligned with regulatory standards, particularly in fintech or regulated environments, including mitigation of hallucinations, prompt injection, and data exposure risks.
• Contribute to the development and refinement of AI safety practices, including structured tool integration via MCP, function calling, or similar protocols to enable consistent and auditable agent behavior.
• Deploy and manage AI systems on AWS-hosted infrastructure including Bedrock, SageMaker, Lambda, or equivalent cloud ML services to support scalable, production-grade internal automation.

🎯 Requirements

• 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

• Remote-first work environment across the United States
• Opportunity to shape the foundational AI infrastructure of a high-growth identity trust platform
• Direct influence on product roadmap through feedback on Agentic AI Foundations platform
• Work alongside a team focused on high-impact, mission-critical automation within a regulated fintech environment
• Access to cutting-edge AI technologies and enterprise-grade cloud infrastructure (AWS Bedrock, SageMaker, etc.)
• Exposure to complex, real-world challenges in fraud prevention, compliance, and secure identity verification

Skills & Technologies

Python

AWS

Data Science

Remote

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Socure Inc.

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About Socure Inc.

Socure Inc. provides digital identity verification and fraud prevention software for financial services, fintech, e-commerce and government clients. The platform applies machine learning and graph-based analytics to link and validate identity elements in real time, detecting synthetic identities, account takeover and document fraud. It integrates via APIs and SDKs for onboarding, KYC/AML compliance and transaction monitoring, aiming to reduce false positives and manual reviews while improving approval rates for legitimate users worldwide.

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