Software Engineer building and maintaining LLM integrations, Snap Packs, and the Agent Framework for SnapLogic's integration platform. Requires strong agentic AI patterns knowledge, LLM API experience (Anthropic preferred), and Java/Python skills.
120k – 140k
Hybrid2+ YOEFullstack Engineering
About the role
What You'll Do
Core Product & Integration Development
Design, build, test, and ship Snap Packs for major AI providers.
Implement and standardize advanced LLM capabilities across providers, including Structured Outputs, Reasoning Models, Function Calling, Background Mode, and Vector Store integrations.
Develop and maintain the SnapLogic Agent Framework for complex agentic workflows (iteration control, parallel tool calls, observable execution via Agent Visualizer).
Contribute to the Model Context Protocol (MCP) Server platform, including lifecycle management, observability, and registry.
Engineering Excellence & AI-Assisted Development
Leverage AI coding agents to write well-crafted, testable, and maintainable code while maintaining full ownership and accountability.
Lead internal AI-driven initiatives to accelerate team velocity; prototype, validate, and productionalize internal AI tools (e.g., AI Agents to automate Snap development).
Write clean, structured, and testable Java/Python code with 90%+ unit test coverage. Participate in code reviews and collaborate with QA/Release teams.
Strategy & Knowledge Sharing
Stay at the forefront of the AI ecosystem and selectively integrate cutting-edge capabilities into the product.
Create high-quality technical documentation, share knowledge through internal demos, and evangelize engineering and AI best practices.
What You'll Bring
Bachelor’s degree with a minimum of 2 years of related experience, or an advanced degree, or equivalent practical work experience.
Strong foundational understanding of agentic design patterns (tool use, agent loops, function calling, structured outputs, reasoning models).
Robust understanding of MCP or AI agent orchestration frameworks.
Hands-on experience with LLM APIs (OpenAI, Azure OpenAI, Google Vertex AI, Amazon Bedrock; Anthropic highly preferred).
Solid experience building or consuming REST APIs and strong command of JSON Schema and structured data validation.
Attention to detail for edge cases, error handling, and user-facing validation.
Ability to self-learn and drive solutions in ambiguous situations.
Strong cross-functional communication skills.
Nice to Have
Experience with SnapLogic or similar iPaaS/enterprise integration platforms.
Familiarity with Maven-based build systems and modern CI/CD pipelines.
Python experience for developing platform-layer components.
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