Senior AI Engineer

CybSafe; United States; Hybrid; USD 200,000 - 230,000; Full time

Benefits offered by this job

Equity

Bonus

Job summary

CybSafe is seeking a Staff AI Engineer to join their Internal AI Engineering team in a remote hybrid role. In this critical position, you will lead the development of agentic systems to support innovation and efficiency throughout the company.

With at least 8 years of software engineering experience and a focus on AI solutions, you will collaborate closely with various business teams. If you have strong Python skills and hands-on experience with AI systems, this could be your next challenge.

Qualifications

• 8+ years of software engineering experience, with at least 2 years focused on AI/ML systems.
• Experience shipping AI solutions that impacted business operations.
• Proven ability to operate in ambiguity and shape undefined problem spaces.

Responsibilities

• Partner with business teams to prioritize high-impact automation workflows.
• Build multi-step workflows that plan, execute, and improve iteratively.
• Leverage Agentic AI Foundations platform for agent integration.

Skills

Python skills

LLM APIs

AI/ML systems

Systems thinking

Collaboration with stakeholders

Tools

LangGraph

CrewAI

AWS-hosted LLM infrastructure

Job description

Location

Remote - US; New York, NY

Employment Type

Full time

Location Type

Hybrid

Department

Tech

Compensation

• $200K – $230K • Offers Equity • Offers Bonus

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, 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.

What We're Looking For

Required

• 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.

Preferred

• 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, hallucination 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.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

Compensation Range: $200K - $230K