Senior Software Engineer – Internal AI Tools Lead

Voyager Technologies, Inc.•Washington, DC

About The Position

We are seeking a Senior Software Engineer – Internal AI Tools Lead to serve as the technical lead and architect for Voyager’s Internal Tools Team. In this role, you will design, build, and scale the internal platforms and AI-powered automations that power Voyager’s business operations end-to-end. You will own the technical roadmap, work directly with functional leaders across the company, and remain a hands-on engineer who builds the core systems alongside your team. You will mentor your team of AI Automation Engineers, set the engineering bar, and be accountable for turning vague business pain points into robust, measurable, and automated solutions. This role is ideal for someone who loves building internal products, cares deeply about operational excellence, and is obsessed with using AI to eliminate manual work—especially in complex, high-stakes domains like finance, HR, supply chain, and manufacturing. You will be joining the Internal AI Tools Team, a small, high-leverage engineering group focused on building AI-powered systems that run Voyager itself. This team designs and delivers internal platforms, automations, and copilots that turn slow, manual workflows into streamlined, integrated systems. We work across the entire business—Finance & Accounting, Internal Communications, Performance Management, Human Resources, IT & Infrastructure, Cyber Security & Systems Assurance, Mergers & Acquisitions, R&D and Technology Roadmapping, Strategic Planning, Enterprise Risk Management, Quality Assurance, Supply Chain & Procurement, Manufacturing & Assembly, and Sales / New Business Capture. Our goal is simple: multiply the effectiveness of every team at Voyager by replacing spreadsheet-driven, email-based processes with secure, AI-driven workflows, decision-support tools, and intelligent assistants that dramatically reduce cycle times and improve execution quality.

Requirements

Bachelor’s degree + 6 years, or Master’s degree + 4 years, in Computer Science, Software Engineering, or a related technical field; or equivalent practical experience.
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.
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.

Nice To Haves

Experience building internal platforms or tooling teams in high-growth, operationally complex organizations (e.g., tech, logistics, manufacturing, defense, or aerospace).
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).
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.

Responsibilities

Own the technical architecture and roadmap for Voyager’s Internal Tools and AI Automation platforms.
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.
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.
Mentor and develop a team of software engineers, providing technical guidance, code reviews, and career support while staying hands-on as an individual contributor.
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.