Software Engineer, GenAI Integrations at SnapLogic
San Mateo, CA
$120,000–$140,000
Jul 6, 2026
San Mateo, CA
Jul 21, 2026
What this job asks for AI summary
A software engineering role focused on building and maintaining integrations between SnapLogic's platform and large language model providers. Day-to-day work involves designing and shipping connector packages for AI services, developing agentic workflow frameworks, and standardizing capabilities such as function calling and structured outputs across multiple AI providers. Suited to engineers with backend experience, familiarity with LLM APIs, and an interest in agentic design patterns.
Mid level · 2+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 4,550 people nationally plausibly meet what this posting asks for (software developers). range 1,900–8,200
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
No work location is specified in the posting; the role appears to be remote-eligible based on the absence of any office or geography requirement, but this is not explicitly confirmed.
The degree requirement states 'Bachelor's degree with a minimum of 2 years of related experience, or an advanced degree, or equivalent practical work experience' — because equivalent experience is explicitly accepted, no formal degree is hard-gated.
Java and Python are both listed in the requirements section as the expected coding languages ('Java/Python code'); Java is emitted as the primary with Python as an alternative since the phrasing implies either/both may be used. Python also appears separately under Nice to Have in the context of platform-layer components, which is captured as a standalone preferred skill.
OpenAI API is emitted as the primary LLM API skill with Azure OpenAI, Google Vertex AI, and Amazon Bedrock as named alternatives, per the requirements section listing them as interchangeable options. Anthropic is called out as 'highly preferred' in the same sentence but is listed separately as a preferred skill to reflect that nuance.
MCP (Model Context Protocol) is listed in the requirements section under 'Frameworks & APIs' as a hard gate alongside AI agent orchestration frameworks; it is marked required.
Agentic design patterns (tool use, agent loops, function calling, structured outputs, reasoning models) are listed as required but describe a conceptual domain rather than a named technology or tool, so they are not emitted as a skill per extraction rules.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
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