Software Engineer, GenAI Integrations

1. Core Product & Integration Development

AI Provider Integrations: Design, build, test, and ship Snap Packs for major AI providers, ensuring robust and high-performing connections.

Cross-Provider Feature Parity: Implement and standardize advanced LLM capabilities across different providers, including Structured Outputs, Reasoning Models, Function Calling, Background Mode, and Vector Store integrations.

Agent Framework & MCP: Develop and maintain the SnapLogic Agent Framework to support complex agentic workflows (incorporating iteration control, parallel tool calls, and observable execution via Agent Visualizer). Contribute to the Model Context Protocol (MCP) Server platform, including lifecycle management, observability, and registry.

1. Engineering Excellence & AI-Assisted Development

AI-Augmented Coding: Leverage AI coding agents to write well-crafted, testable, and maintainable code, while maintaining full ownership, deep understanding, and accountability for the AI-generated codebase.

Internal AI Innovation: Lead internal AI-driven initiatives to accelerate team velocity; rapidly prototype, validate, and productionalize internal AI tools (e.g., building dedicated AI Agents to automate Snap development).

Code Quality & Operations: Write clean, structured, and testable Java/Python code adhering to checkstyle standards, maintaining a 90%+ unit test coverage target. Participate in code reviews and collaborate with QA/Release teams to validate builds across the production environment.

1. Strategy & Knowledge Sharing

Trend Adoption: Stay at the forefront of the rapidly evolving AI ecosystem, selectively landing cutting-edge capabilities into the SnapLogic product line to deliver immediate customer value.

Evangelism & Documentation: Institutionalize project learnings into high-quality technical documentation. Share knowledge through internal demos and evangelize engineering and AI best practices across the organization.