AI Engineer

Job not on LinkedIn

🕒 August 27

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 31%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Aspire Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏨 Hospitality

📦 Logistics

🏗️ Construction

Hospitality • Logistics • Construction

Aspire Software is a company that focuses on acquiring and nurturing businesses with a strong foundation in outstanding products and passionate teams. As part of the Valsef Group, Aspire Software offers resources, knowledge, and a suite of best practices to enhance and expand operations for continuous improvement and sustainable growth. The company emphasizes decentralization to unlock innovation and adaptability within its acquired entities. Aspire Software is dedicated to serving its customers through long-term technology partnerships, leveraging capital and expertise in various verticals to grow both the businesses and individuals involved.

📋 Description

• Integrate AI capabilities, including LLM APIs, intelligent automation, and personalization, into ASP.NET MVC products • Design, develop, and deploy secure, production-grade AI systems using scalable polyglot microservices • Integrate Anthropic Claude, OpenAI, and Google Gemini into SaaS platforms through fault-tolerant API routing gateways • Develop autonomous multi-agent workflows using Claude Code CLI and OpenAI Codex • Build product surfaces including smart content recommendations, automated compliance tracking, and AI-assisted reporting • Prototype, validate through adversarial testing, deploy, and iterate • Implement complex RAG pipelines and optimize context hydration versus semantic retrieval trade-offs • Build and manage vector databases and persistent document embedding queues • Build polyglot microservices for long-running tasks and streaming through WebSockets and Server-Sent Events • Ensure SOC 2 compliance, data residency controls, and deterministic execution through policy-as-code agentic governance • Deploy and scale models within secure managed cloud boundaries • Identify modernization opportunities across the training and compliance platform • Migrate legacy features into scalable AI-native architectures using agentic swarm coding and automated refactoring • Architect zero-touch CI/CD pipelines with adversarial gating and AI-driven test automation • Integrate synthetic red teaming into CI/CD to prevent prompt drift, reward hacking, and logic degradation • Translate ambiguous business problems into secure, scalable AI solutions with non-technical stakeholders • Collaborate with product and design to ship features end-to-end

🎯 Requirements

• 3–5+ years of enterprise software development experience with strong full-stack web fundamentals • Hands-on experience with .NET / ASP.NET MVC and C# • Fluency across Python, JavaScript, TypeScript, .NET, and NextJS • Solid understanding of relational databases; MS SQL experience a plus • Backend experience designing polyglot APIs, decoupled asynchronous microservices, WebSockets, and Server-Sent Events • Familiarity with Docker, Kubernetes, and multi-region cloud infrastructure using AWS, Azure, or GCP • Practical experience integrating AI/ML APIs or building AI-powered production features • Experience integrating OpenAI, Anthropic, and Gemini with dynamic API routing • Multi-agent orchestration and advanced CLI tooling, including Claude Code and OpenAI Codex • Mastery of Cursor and GitHub Copilot • RAG pipeline design, including dynamic chunking, vector databases, and embedding management • Custom evaluations using LangSmith, structured outputs, and managed fine-tuning in secure cloud environments • Zero-touch CI/CD pipelines and advanced Git workflows, including worktree isolation for autonomous sub-agents • Unit test and benchmark automation with AI-driven testing frameworks • Adversarial LLM testing and automated synthetic red-teaming • Hallucination mitigation, enterprise guardrails, and deterministic policy-as-code execution • Real-time token/credit consumption tracking and dynamic access limit monitoring • Experience with prompt engineering, RAG pipelines, or agentic workflows • Familiarity with refactoring or re-architecting legacy .NET applications • Background in HR tech, e-learning, compliance, or LMS platforms is a bonus • Knowledge of SOC 2 audit requirements and compliance automation tooling is a bonus

🏖️ Benefits

• Shape the AI strategy of a growing compliance and training platform • Own meaningful features from day one — not just tickets in a backlog • Real modernization challenge: legacy codebase + greenfield AI opportunity in parallel • Collaborative, low-ego team that ships and iterates fast • Startup velocity inside an established, well-resourced corporate portfolio