5 months ago
Base Salary
$200k - $230k/yr
Responsibilities
- Partner with business teams to identify and prioritize high-impact, frequent manual workflows.
- Build multi-step, tool-augmented agent workflows that plan, execute, observe outcomes, and improve iteratively.
- Design planner-executor, reflection-based, stateful, and human-in-the-loop agent architectures with approval gates, fallback paths, and escalation mechanisms.
- Use the Agentic AI Foundations platform for runtime, orchestration, memory, tool registry, guardrails, and observability, while providing feedback on platform priorities.
- Develop differentiated internal solutions using LLMs, multi-agent frameworks, and orchestration platforms.
- Discover reusable agent design patterns and contribute them to the Agentic AI Foundations paved paths.
- Use evaluation and tracing infrastructure for continuous performance assessment, failure-mode analysis, and optimization of agent speed and accuracy.
Requirements
- 8+ years of software engineering experience, including 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 such as LangGraph, CrewAI, or AutoGen.
- Strong Python skills and experience building production-grade backend services, APIs, and data pipelines.
- Experience independently defining, building, and measuring solutions in ambiguous problem spaces.
- Experience shipping AI or automation solutions that directly impacted business operations.
- Strong systems thinking with an emphasis on reliability, observability, and maintainability.
- Ability to collaborate directly with non-technical business stakeholders and translate workflows into technical solutions.
- Preferred experience with multi-agent systems, workflow orchestration, or complex production tool-use patterns.
- Preferred familiarity with AI evaluation frameworks such as LangSmith, Weights & Biases, Arize, or custom evaluation pipelines.
- Preferred experience with RAG pipelines, vector databases, knowledge graphs, memory or grounding systems, and real-time or streaming AI systems.
- Preferred familiarity with AI safety and security practices, regulated industries, MCP, function calling, and AWS-hosted LLM infrastructure or equivalent cloud ML services.
Categories
About Socure
Socure builds an AI-driven digital identity verification and fraud prevention platform used by banks, fintechs, e-commerce, telecom, healthcare, and government agencies to automate KYC/AML, document verification, and risk decisioning. It sells enterprise APIs and workflows for onboarding, authentication, and payments fraud mitigation. Founded in 2012 and headquartered in Incline Village, Nevada, Socure is privately held and operates across regulated and high-volume digital markets.