Software Systems Engineer – AI Tooling & Platform : 26-02937

Akraya is an IT staffing firm providing technology talent solutions to organizations. The company is seeking a hands-on Software Systems Engineer Senior Associate to evolve an internal AI-enabled tooling platform using Claude toolkits, Python libraries, knowledge systems, and enterprise integrations. The role focuses on AI agent development, GitHub migration, CI/CD, secure data handling, RAG systems, automation, and documentation.

Responsibilities:

• Own and extend the existing Python toolkits, Claude agents, dashboards, SharePoint integrations, and Smartsheet integrations supporting the ISD team
• Measure current Claude/toolkit token usage and establish a baseline, then redesign routine workflows using MCP servers, packaged plugins, Agent SDK services, or internal applications to reduce unnecessary context consumption
• Lead migration of the shared library into GitHub, including repository architecture, branching strategy, CI/CD, packaged releases, and distribution processes
• Establish secure boundaries ensuring customer pricing data, deal content, knowledge-base information, and published outputs remain in approved client’s systems and are not committed to source control
• Develop scanning and controls to prevent confidential data and secrets from entering repositories while enabling users to install and run releases from a fresh machine
• Improve the ISD Brain knowledge base into a multi-user retrieval and contribution system with access controls, source citations, confidence levels, and grounded responses
• Build and maintain AI/agent workflows that provide cited, provenance-aware answers and explicitly return "I don't know" when sufficient evidence is unavailable
• Create clear design documentation, runbooks, technical documentation, and user-facing instructions so the broader team can operate and maintain the platform

Requirements:

• Deep hands-on experience with Claude Code, including skills, sub-agents, CLAUDE.md instructions, hooks, permissions, MCP connectors, and understanding of token/context behavior
• Strong Python development and testing experience, preferably using the standard library and maintaining lightweight, portable solutions
• Experience migrating existing codebases into GitHub, establishing repository structures, branching strategies, CI/CD pipelines, release processes, and secure data-management practices
• Production experience building agentic AI and RAG systems, including agent boundaries, retrieval, source grounding, citations, and evaluation
• Strong understanding of confidential data handling, access controls, secrets management, provenance, and secure separation of code from customer/business data
• Strong communication and collaboration skills, with the ability to translate technical solutions into measurable business value
• Experience managing technical backlogs and creating design documents, runbooks, and technical documentation
• Obsidian or comparable Markdown-based knowledge bases at team scale
• SharePoint and Microsoft 365 integrations/connectors
• Smartsheet and Confluence
• API and MCP connectivity development
• GCP or AWS experience
• Experience with multi-user knowledge systems and role-based access models
• Experience building internal developer platforms or AI-enabled productivity/tooling platforms for non-engineering users
• Strong understanding of software distribution, dependency management, packaging, and fresh-machine setup
• Demonstrated ability to establish measurable baselines and quantify improvements in cost, execution time, reliability, or user adoption
• Strong attention to data provenance, source confidence, access restrictions, and auditability
• Ability to work independently, challenge unclear requirements constructively, and deliver practical solutions with clear documentation