AI Engineer

Role overview

Responsibilities

• check_circle Integrate AI capabilities (LLM APIs, intelligent automation, personalization) into our ASP.NET MVC products
• check_circle Design, develop, and deploy production-grade, secure AI systems using scalable polyglot microservices
• check_circle Integrate enterprise LLMs (Anthropic Claude, OpenAI, Google Gemini) into SaaS platforms via fault-tolerant API routing gateways
• check_circle Develop autonomous multi-agent workflows using parallel orchestration tools (Claude Code CLI, OpenAI Codex)
• check_circle Build new product surfaces — smart content recommendations, automated compliance tracking, AI-assisted reporting
• check_circle Rapidly prototype validate via adversarial testing deploy iterate
• check_circle Implement complex RAG pipelines and optimize trade-offs between massive-context hydration and multi-stage semantic retrieval
• check_circle Build vector databases (Pinecone, Weaviate, FAISS) and manage persistent document embedding queues
• check_circle Build polyglot microservices handling long-running tasks and streaming via WebSockets and Server-Sent Events
• check_circle Ensure SOC 2 compliance, data residency controls, and deterministic execution through policy-as-code agentic governance
• check_circle Deploy and scale models within secure managed cloud boundaries
• check_circle Identify high-impact modernization opportunities across our training and compliance platform
• check_circle Help migrate legacy features into scalable, AI-native architectures using agentic swarm coding and automated refactoring
• check_circle Architect zero-touch CI/CD pipelines with adversarial gating and AI-driven test automation
• check_circle Integrate synthetic red teaming into CI/CD to prevent prompt drift, reward hacking, and logic degradation
• check_circle Work directly with non-technical stakeholders to translate ambiguous business problems into secure, scalable AI solutions
• check_circle Collaborate with product and design to ship features end-to-end
• check_circle 3–5+ years of enterprise software development experience with strong full-stack web fundamentals
• check_circle Hands-on experience with .NET / ASP.NET MVC (our core stack) and C#
• check_circle Fluency across popular languages and frameworks: Python, JavaScript, TypeScript, .NET, NextJS
• check_circle Solid understanding of relational databases — MS SQL experience a plus
• check_circle Backend experience designing polyglot APIs, decoupled async microservices, and persistent connection protocols (WebSockets/SSE)
• check_circle Familiarity with containerization (Docker, Kubernetes) and multi-region cloud infrastructure (AWS, Azure, or GCP)
• check_circle Practical experience integrating AI/ML APIs or building AI-powered features in production
• check_circle Enterprise LLM integration and dynamic API routing (OpenAI, Anthropic, Gemini)
• check_circle Multi-agent orchestration and advanced CLI tooling (Claude Code, OpenAI Codex)
• check_circle Mastery of AI IDE tooling: Cursor for repo-wide reasoning, GitHub Copilot
• check_circle RAG pipeline design: dynamic chunking, vector databases, embedding management
• check_circle Custom evaluations (LangSmith), structured outputs, and managed fine-tuning in secure cloud environments
• check_circle Zero-touch CI/CD pipelines and advanced Git workflows (including worktree isolation for autonomous sub-agents)
• check_circle Unit test and benchmark automation integrated with AI-driven testing frameworks
• check_circle Adversarial LLM testing and automated synthetic red-teaming
• check_circle Hallucination mitigation, enterprise guardrails, and deterministic policy-as-code execution
• check_circle Real-time token/credit consumption tracking and dynamic access limit monitoring
• check_circle Experience with prompt engineering, RAG pipelines, or agentic workflows
• check_circle Familiarity with refactoring or re-architecting legacy .NET applications
• check_circle Background in regulated industries: HR tech, e-learning, compliance, LMS platforms
• check_circle Knowledge of SOC 2 audit requirements and compliance automation tooling
• check_circle Highly hands-on — you ship, not just design; you operate at velocity by orchestrating autonomous tools
• check_circle Entrepreneurial startup mindset — you spot legacy inefficiencies and act with a bias toward rapid action
• check_circle Comfortable with ambiguity — you scope, own, and deliver independently
• check_circle Business-oriented — you care about ROI, operational leverage, and financial metrics like NRR and CAC
• check_circle Strong product instincts — you think about the user, not just the implementation
• check_circle Fast learner — you track real-time shifts in AI ecosystems, APIs, and infrastructure
• check_circle Pragmatic — you use the right secure enterprise tool for the bottleneck, not just the flashiest one
• check_circle Shape the AI strategy of a growing compliance and training platform
• check_circle Own meaningful features from day one — not just tickets in a backlog
• check_circle Real modernization challenge: legacy codebase + greenfield AI opportunity in parallel
• check_circle Collaborative, low-ego team that ships and iterates fast
• check_circle Startup velocity inside an established, well-resourced corporate portfolio

About the company