Who you are

• 5+ years of professional software engineering experience with a strong background in large-scale distributed systems, backend platforms, or infrastructure
• 3+ years of experience designing, building, and operating production-grade systems with clear reliability, performance, and observability requirements
• Hands-on experience with LLMs, Agentic AI systems, or building intelligent applications (e.g., using modern LLM APIs, orchestration frameworks, or ML-powered services in production)
• Demonstrated ability to operate in ambiguity and build from first principles in zero-to-one or highly novel problem areas, including making sound trade-offs under uncertainty
• Strong product and systems thinking: you can connect technical decisions to real-world impact, understand user and business needs, and design systems that balance speed, quality, and safety
• Familiarity with AI safety, security, or policy systems such as guardrails, content filtering, access controls, or audit and compliance mechanisms
• Proficiency in at least one modern backend programming language and ecosystem (e.g., Java, Go, Python, or similar) and comfort working with cloud-native infrastructure, APIs, and data services
• Experience collaborating with cross-functional partners (e.g., product, data science, platform, security) to deliver complex technical initiatives
• Background in multi-agent systems, workflow orchestration, or similar distributed coordination frameworks
• Exposure to building or using agent platforms (e.g., orchestration frameworks, tool registries, memory systems) or advanced prompt/LLM routing, caching, or fine-tuning pipelines
• Experience with evaluation frameworks, experimentation platforms, or ML systems (e.g., offline/online evals, A/B testing, or benchmarking agents and models)
• Experience specifically with AI safety, security, or policy systems (guardrails, policy engines, content filters, or responsible AI frameworks)
• Experience with retrieval systems, knowledge graphs, or data platforms used to ground LLMs and agents in enterprise context
• Experience in a founding, early-stage, or platform-building role where you defined patterns and paved paths for other teams

What the job involves

• As a Senior Software Engineer on the Agentic AI Foundations team, you will be one of the founding engineers responsible for designing and building the core platform, systems, and primitives that enable Socure to transition from traditional software workflows to agent-native operations
• You will work across applied AI, platform engineering, and system design to create a secure, evaluable, vendor-agnostic agent platform that other teams across Socure can build on
• This is a zero-to-one role with outsized impact: you will shape the architecture, reliability, and safety of agentic systems that power critical internal workflows and, over time, customer-facing products
• You will be expected to operate with a high degree of ownership and autonomy, partnering closely with leaders in Platform, Product, Data Science, and other engineering teams to deliver high-impact agent-powered workflows and establish best practices for building secure, observable, and scalable agent systems
• Design and build a vendor-agnostic agent platform, including orchestration, tool use, memory, and runtime systems that can be reused across multiple workflows and teams
• Develop evaluation and reliability frameworks (metrics, harnesses, pipelines) to measure and improve agent performance, robustness, and safety in production
• Implement safety and governance controls such as guardrails, policy enforcement, and human-in-the-loop review mechanisms to ensure responsible agent behavior and compliance with internal and external standards
• Build systems for data grounding, retrieval, and memory that enable agents to be accurate, context-aware, and aligned with Socure’s domain knowledge and policies
• Prototype, iterate on, and productionize agent behaviors including planning, multi-step execution, and coordination of tools and services, using real internal workflows as proving grounds
• Partner with product and engineering teams across Socure to identify high-impact use cases, jointly design agent-powered workflows, and launch them into production using the platform primitives you build
• Define and document best practices, design patterns, and paved paths for building secure, observable, and scalable agent systems, and mentor other engineers on how to apply them
• Contribute to the team’s strategy and roadmap by informing architecture choices, identifying technical risks, and helping prioritize foundational investments (e.g., tracing, evaluation approaches, dev tooling)
• Uphold and model Socure’s leadership expectations for senior engineers: operating with strong product and systems thinking, influencing without authority, collaborating across functions, and raising the technical bar for the team

Benefits

• Health: Comprehensive medical coverage, including vision, dental, and FSA
• Parental Leave: Generous leave allowance for parents-to-be
• 401k: Pre-tax savings for retirement
• Life Insurance: Protect your family in case of emergency
• PTO: Take as much time as you need, when you need it
• 100% Remote: Work from anywhere anytime, whatever suits your lifestyle
• WFH Allowance: Generous reimbursement program to maximize your WFH setup
• Deskpass: Work in an office environment whenever you feel the need
• Mental Health Provider: Connect with clinicians when you need it
• Learning & Development: Self-education allowance & free career coaching
• Employee Assistance Program "EAP": Lifestyle resources available as well as additional mental health resources
• Fertility Provider: Family planning solutions for those interested
• Personal Legal Support: Significant discounts with RocketLawyer