Related skills
backend python data pipelines observability langgraph📋 Description
- Prioritize High-Impact Automation: catalog workflows with business teams and rank by impact, feasibility, and urgency.
- Production Agent Design & Development: build multi-step, tool-augmented agent workflows; plan, execute, observe outcomes; include human-in-the-loop controls.
- Platform Integration: leverage Agentic AI Foundations platform for runtime, orchestration, memory, guardrails, and observability.
- Innovation & Standards: use LLMs, multi-agent frameworks, and orchestration platforms to create differentiated internal solutions and stay ahead on tech and regulatory aspects.
- Technical Patterns: discover reusable agent design patterns and contribute back to the Agentic AI Foundations paved paths.
- Operational Excellence: use evaluation harness and tracing substrate for continuous performance assessment and optimization of speed and accuracy.
🎯 Requirements
- 8+ years of software engineering, with at least 2 years in AI/ML systems or LLM-powered apps 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 production-grade backend services, APIs, and data pipelines.
- Ability to operate in ambiguity: you’ve entered undefined problem spaces, defined what to build, built it, and measured results.
- Experience shipping AI/automation solutions that directly impacted business operations.
- Strong systems thinking: design for reliability, observability, and maintainability; collaborate with non-technical stakeholders to translate workflows into technical solutions.
🎁 Benefits
- Equal opportunity employer committed to diversity and inclusion.
- Accommodation during the application or hiring process; reach out to the Socure recruiting partner.
- Opportunity to work on internal AI initiatives (Agentic AI Foundations) to transform Socure’s internal workflows.
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