Voyager is seeking to solve the business problem of inefficient, manual, and spreadsheet-driven business operations across various departments by implementing AI-powered automations and internal tools. The goal is to streamline workflows, reduce cycle times, improve execution quality, and multiply the effectiveness of every team.
Requirements
- Strong full-stack engineering skills with experience in Python and/or TypeScript, and modern web frameworks (e.g., React, Next.js, FastAPI, Node.js, or similar).
- Demonstrated experience integrating with enterprise systems (e.g., ERP, CRM, HRIS, ticketing, identity, document management) via APIs, MCP, and event-driven architectures.
- Hands-on experience using LLMs and AI services to build workflow automations, internal copilots, or intelligent assistants (e.g., retrieval-augmented generation, routing, or agents).
- Experience leveraging LLMs for rapid development efforts.
- Demonstrated "AI-first" workflow in your own development practice—using LLMs and tools to accelerate coding, documentation, and testing rather than doing all boilerplate by hand.
- Familiarity with workflow engines and orchestration systems (e.g., LangGraph, n8n, Agent Development Kits).
- Experience designing systems with strong security and compliance postures (e.g. FedRAMP, ITAR/EAR-adjacent environments).
Responsibilities
- Own the technical architecture and roadmap for Voyager's Internal Tools and AI Automation platforms.
- Design and build full-stack internal tools (e.g., workflow engines, approval systems, dashboards, copilots) that integrate with core enterprise systems (ERP, CRM, HRIS, ticketing, document repositories).
- Build and maintain AI-powered automations and assistants (e.g., Slack/Teams bots, workflow agents, RAG systems) that streamline recurring tasks such as report generation, deal review, policy Q&A, supplier analysis, and financial/ops reconciliations.
- Establish engineering standards for the Internal Tools Team, including code quality, testing, observability, and security practices appropriate for a defense and aerospace organization.
- Leverage agentic workflows and empower your team to use AI agents to rapidly and robustly develop internal tools.
- Instrument and measure impact: define and track KPIs and OKRs such as cycle-time reductions, error-rate reductions, and automation coverage across key business processes.
- Partner with leaders across Finance & Accounting, HR, IT, Cyber Security, Supply Chain, Manufacturing, and Business Development to map manual workflows and translate them into scalable software and automation projects.
Other
- Proven track record acting as a technical lead or architect on multi-stakeholder projects and mentoring junior engineers while remaining an active individual contributor.
- 5+ years of professional experience building production software systems, internal tools, or SaaS applications used by non-technical stakeholders.
- To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
- A visible portfolio of internal tools, open-source projects, or side projects that demonstrate your passion for building leverage-heavy systems that make other people more effective.
- The strongest candidates will provide links to outstanding work (or descriptions when not possible to link) and evidence of experience and passion for leveraging agentic teams for rapid development.
