Responsibilities
- Build components of a vendor-agnostic agent platform, including orchestration, tool use, memory, and runtime systems.
- Implement evaluation and reliability tooling such as metrics, harnesses, and pipelines for agent performance, robustness, and safety.
- Implement safety and governance controls including guardrails, policy enforcement, and human-in-the-loop review mechanisms.
- Develop data grounding, retrieval, and memory components for accurate and context-aware agents.
- Prototype agent behaviors involving planning, multi-step execution, and coordination of tools and services.
- Partner with product and engineering teams to implement agent-powered workflows.
- Apply and refine design patterns for secure, observable, and scalable agent systems.
- Contribute knowledge of LLMs, GPU computing, and model serving to technical implementation decisions.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Machine Learning/AI, or a related field, or equivalent practical experience.
- At least 2 years of professional software engineering experience in distributed systems, backend platforms, infrastructure, or comparable technical environments.
- Strong foundational knowledge of LLMs and agentic AI systems, including architectures, prompting, orchestration, tool use, and evaluation.
- Strong understanding of GPU computing and model-serving infrastructure, including relevant performance and cost trade-offs.
- Solid grounding in distributed systems fundamentals such as concurrency, fault tolerance, observability, and performance.
- Proficiency in at least one modern backend programming language and ecosystem, such as Java, Go, or Python.
- Comfort working with cloud-native infrastructure, APIs, and data services.
- Preferred experience with multi-agent systems, workflow orchestration, distributed coordination frameworks, agent platforms, LLM routing, caching, or fine-tuning pipelines.
- Preferred experience with evaluation frameworks, experimentation platforms, ML systems, AI safety, security or policy systems, retrieval systems, knowledge graphs, or enterprise data platforms.
- Strong technical performance demonstrated through professional work, research, challenging projects, open-source contributions, internships, or comparable experience.
Categories
About Socure
Socure is the leading platform for digital identity verification, compliance and fraud prevention solutions, trusted by the largest enterprises and government agencies to build trust and mitigate risk. Leveraging AI and machine learning, Socure’s industry-leading platform achieves the highest accuracy, automation, and capture rates in the industry. Serving more than 3,000 customers and 190+ countries across financial services, government, gaming, healthcare, telecom, and e-commerce, Socure’s customer base includes 18 of the top 20 banks, 4 of the Mag 7, the largest HR payroll and workforce providers, the largest sportsbook and prediction market operators, 130 public sector organizations including state and federal agencies across the public sector, and more than 600 fintechs. Leading organizations trust Socure to deliver certainty in identity across onboarding, authentication, payments, account changes, and regulatory compliance. Learn more at www.socure.com.