Aspire Software company overview

Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.

About the job

This role sits at the center of that buildout. You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming. We need someone who can execute and see around corners, someone who understands both the product experience and the platform mechanics underneath it.

Key responsibilities

• Build and ship AI features using our PHP/MySQL/React/Node stack with OpenAI API integration.
• Extend Astro Core chatbot capabilities with new read/write actions, graph generation, and analysis outputs.
• Help improve the external MCP connector schema, authentication, and capability surface.
• Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.
• Build the token metering and usage tracking layer per feature, per customer, per tier.
• Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.
• Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.
• Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.
• Stay current on the AI tooling landscape and bring concrete recommendations to the team.

Requirements

• Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.
• Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.
• Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.
• Experience building quality evaluation and output validation frameworks around AI features.
• Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.

• Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.
• Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.
• Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.
• Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.

• React and Node: able to build frontend components that surface AI features, including data visualizations.
• Solid PHP development experience — comfortable extending a production codebase, not just greenfield.
• MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.
• Typescript: used on the backend of the MCP layer.

Bachelor’s degree in Computer Science, Information Systems, Engineering or a related field.

3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.

Strong understanding of artificial intelligence, machine learning, generative AI, and automation concepts.

Strong presentation, communication, and stakeholder management skills.

Experience working directly with customers and senior business stakeholders.

Excellent problem-solving and analytical skills.