Software Engineer II (GenAI)

5 days ago

Glendale, CA, USA or Seattle, WA, USAMid Level

Base Salary

$118k - $165k/yr

Responsibilities

Build and maintain Python-based Generative AI application components.
Connect conversational AI workflows with backend services, web applications, and internal tools.
Implement retrieval and grounding workflows, document ingestion, semantic chunking, metadata handling, and retrieval testing.
Develop prompt logic, response formatting, structured outputs, and validation patterns.
Support agentic workflows involving tool use, function calling, API actions, and multi-step reasoning.
Contribute to MCP-style integrations connecting AI systems to tools, data, and enterprise services.
Support LLMOps practices including observability, logging, monitoring, evaluation, latency tracking, cost tracking, deployment support, and production troubleshooting.
Create validation datasets, regression tests, and response-quality review workflows.
Support deployment, environment configuration, and operational documentation.
Use AI-assisted developer tools such as Cursor, Claude Code, or similar tools during development, testing, documentation, and technical problem solving.
Work with senior engineers to improve the reliability, maintainability, and transparency of GenAI systems.

At least 3 years of professional software development experience.
Strong Python development skills.
Hands-on experience or project work with Generative AI applications or conversational AI systems.
Familiarity with retrieval-based GenAI patterns, grounding, embeddings, vector search, and prompt engineering.
Experience integrating APIs and backend services.
Hands-on exposure to MCP, tool calling, function calling, or agentic integration patterns.
Exposure to cloud application development in Azure, AWS, or GCP.
Ability to read logs, investigate issues, and troubleshoot application behavior.
Working knowledge of LLMOps concepts, including evaluation, observability, monitoring, deployment support, and production AI-system reliability.
Required use of AI-assisted developer tools such as Cursor, Claude Code, or similar tools.
Bachelor’s degree required.
Preferred: frontend depth and platform experience; Azure OpenAI, Azure AI Foundry, Azure Functions, Azure App Service, or Application Insights; Microsoft Teams bots or enterprise conversational interfaces; Snowflake Cortex, Cortex Analyst, semantic views, or natural-language-to-SQL workflows; MongoDB, Atlas Vector Search, or graph databases; AI response testing; CI/CD, Docker, telemetry, and deployment pipelines; and secure enterprise AI patterns.

10,000+ employees