Sr Analyst II: AI Systems Engineer - Storage & Backup

About this role

Job Description:

## Essential Job Functions

·         Design, code, and test Python-based components for OASIS storage/backup integrations — agents, MCP tool servers, vendor REST API connectors, and Pydantic models — focusing on developing and maintaining critical components of the team’s capabilities.

·         Develop FastAPI/Uvicorn services exposing JSON-RPC 2.0, REST, and SSE-streamed endpoints, and consume vendor REST APIs via async HTTP clients (httpx, aiohttp).

·         Implement and tune LangGraph ReAct agents that orchestrate LLM-driven tool calls against MCP servers, including parallel tool execution and RAG-backed knowledge retrieval.

·         Take ownership of challenging technical tasks and collaborate with senior engineers on architectural decisions for your area.

·         Actively participate in design discussions and code reviews; produce clean pull requests with appropriate test coverage, changelog entries, and version increments per team conventions.

·         Debug and resolve complex production issues across the agent → MCP server → vendor API stack using structured logs and OpenTelemetry traces.

·         Author and maintain unit, integration, and end-to-end tests; contribute to CI workflows (GitHub Actions, CodeQL, PR gating).

·         Stay current with emerging agentic AI patterns (LLM tool calling, ReAct, RAG, prompt engineering); research and propose innovative solutions for the team’s integration portfolio.

·         Assist in mentoring and guiding more junior team members (Sr Analyst III and below); share knowledge and contribute to onboarding documentation.

·         Use Claude Code (or comparable AI coding assistants) as a routine part of the development and documentation workflow.

## Basic Qualifications

·         Bachelor’s degree in Computer Science or equivalent combination of education and experience.

·         Typically 4+ years of relevant software engineering experience, with at least 1+ years in a similar ...