AI
Software Systems Engineer – AI Tooling & Platform : 26-02937
Akraya, Inc.
- 🇺🇸 United States
- Remote
- Senior
- 14 hours ago
- Claude Code
- Python
- GitHub
- CI/CD
- RAG
- AI
- Claude
- Smartsheet
- MCP
- Secrets Management
- Confluence
- GCP
- AWS
14 hours ago
Contract Type: W2 Only
Duration: 6+ Months
Location: Remote, Redwood City- CA
Pay Range: $75 - $80 on W2
Job Summary:
The ISD team is seeking a hands-onSoftware Systems Engineer Senior Associate to own and evolve an internal AI-enabled tooling platform built aroundClaude toolkits, Python libraries, SharePoint, Smartsheet, dashboards, and an Obsidian-based knowledge system.
The engineer will help transition the platform from a shared, non-version-controlled environment into a maintainable engineering platform that can be used by the broader team. Key areas includeClaude Code and agent development, GitHub migration and CI/CD, token-efficient tool architecture, AI/RAG systems, secure data boundaries, knowledge-base access, and reusable documentation.
This is a hands-on engineering role where the primary deliverables areworking code, tested systems, automation, and documentation that non-engineering team members can follow and operate.
Key Responsibilities:
- Own and extend the existingPython 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 usingMCP servers, packaged plugins, Agent SDK services, or internal applications to reduce unnecessary context consumption.
- Lead migration of the shared library intoGitHub, including repository architecture, branching strategy, CI/CD, packaged releases, and distribution processes.
- Establish secure boundaries ensuringcustomer 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 theISD 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 providecited, provenance-aware answers and explicitly return "I don't know" when sufficient evidence is unavailable.
- Create cleardesign documentation, runbooks, technical documentation, and user-facing instructions so the broader team can operate and maintain the platform.
- Deep hands-on experience withClaude Code, including skills, sub-agents, CLAUDE.md instructions, hooks, permissions, MCP connectors, and understanding of token/context behavior.
- StrongPython development and testing experience, preferably using the standard library and maintaining lightweight, portable solutions.
- Experience migrating existing codebases intoGitHub, establishing repository structures, branching strategies, CI/CD pipelines, release processes, and secure data-management practices.
- Production experience buildingagentic AI and RAG systems, including agent boundaries, retrieval, source grounding, citations, and evaluation.
- Strong understanding ofconfidential 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 creatingdesign documents, runbooks, and technical documentation.
- Obsidian or comparableMarkdown-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 ofsoftware distribution, dependency management, packaging, and fresh-machine setup.
- Demonstrated ability to establish measurable baselines and quantify improvements incost, 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.
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Software Systems Engineer – AI Tooling & Platform : 26-02937 · Akraya, Inc.