Socure

identity trust infrastructure

AIEngineer

$200–250k United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“AI Engineer at Socure. Skills: AI/ML systems, LLM-powered applications, agentic framework, Python, production-grade backend services, multi-agent systems, workflow orchestration. Prioritization of High-Impact Automation. Partner with business teams to catalog manual, high-frequency workflows and rank them by impact, feasibility, and urgency”

What You'll Achieve.

verify 100% of good identities in real time and stopping fraud before it starts; design and ship the agentic systems that reshape how Socure operates across sales, marketing, revenue ops, finance, talent, and legal; driving step-function gains in efficiency, accuracy, and decision-making across the enterprise; ship faster; providing the real-world pull-through that shapes its roadmap; continuous performance assessment; optimization of speed and accuracy of specific agentic solutions

Industry & Context.

identity trust infrastructure
Problems you'll solve

think critically; systems thinking; failure-mode analysis

What They're Looking For.

Must Have

8+ years of software engineering experience, at least 2 years focused on AI/ML systems or LLM-powered applications in production, Deep hands-on experience with LLM APIs, at least one agentic framework (e.g. LangGraph, CrewAI or AutoGen), Python skills, 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, 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

Nice to Have

Experience with multi-agent systems, workflow orchestration, or complex tool-use patterns in production, Familiarity with evaluation frameworks (e.g., LangSmith, Weights & Biases, Arize, or custom eval pipelines) for AI systems (agent reliability, accuracy benchmarking, failure-mode analysis), Experience with RAG pipelines, vector databases, knowledge graphs, or memory/grounding systems, Experience with real-time or streaming AI systems, Familiarity with AI safety and security practices, including prompt injection prevention, hallucinations mitigation and data protection/privacy, Background in a regulated industry (fintech, healthcare, government) where compliance and security review processes are standard, Experience with agent skill abstraction and structured tool integration via MCP (Model Context Protocol), function calling or similar protocols, Experience with AWS-hosted LLM infrastructure (Bedrock, AgentCore/Strands, Lambda, SageMaker) or equivalent cloud ML services

What You'll Do.

Prioritization of High-Impact Automation

Partner with business teams to catalog manual

high-frequency workflows and rank them by impact

tool-augmented agent workflows that can plan

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

and escalation mechanisms

Leverage the Agentic AI Foundations team's platform covering agent runtime

Provide feedback that shapes platform priorities

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

and intelligent internal systems

Discover reusable agent design patterns while building real workflows and contribute them back to the Agentic AI Foundations paved paths

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

How You'll Work.

Team & Collaboration

Partner with business teams (e.g., Revenue Ops, Marketing, Finance Ops, Talent Acquisition); Collaborate directly with non-technical business stakeholders; Leverage the Agentic AI Foundations team's platform; Provide feedback that shapes platform priorities

Communication Scope

Ability to collaborate directly with non-technical business stakeholders to understand their actual workflows and translate those into technical solutions

Full Job Description

WHY SOCURE? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. ABOUT THE ROLE Socure is building the future of trust for digital ecosystems. To accelerate our mission, we are expanding the platform to include agentic workflows and internal productivity tools that power innovation across the company. These systems will underpin how Socure builds, deploys, and scales AI-driven identity solutions while enabling internal teams to operate with speed, intelligence, and precision. Reporting to the Head of New Product Engineering, you'll join a new Internal AI Engineering team with a mandate to design and ship the agentic systems that reshape how Socure operates across sales, marketing, revenue ops, finance, talent, and legal. As a Staff AI Engineer on this team, you'll define what to build - not just execute what's been scoped. You'll be the first major internal partner building on Socure's Agentic AI Foundations platform - using its primitives to ship faster and providing the real-world pull-through that shapes its roadmap. By delivering intelligent automation and agentic workflows you will play a central role in Socure's transformation into an AI-native company, driving step-function gains in efficiency, accuracy, and decision-making across the enterprise. WHAT YOU'LL DO - Prioritization of High-Impact Automation - Partner with business teams (e.g., Revenue Ops, Marketing, Finance Ops

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