Note: The job is a remote job and is open to candidates in USA. Pinpoint Global builds training and compliance platforms that help organizations keep their teams skilled, certified, and audit-ready. The AI Engineer will integrate and deploy production-grade AI systems within the company’s .NET products, architect AI infrastructure, modernize legacy systems, and collaborate with stakeholders to deliver secure, scalable solutions with measurable business impact.
Responsibilities
- Integrate AI capabilities (LLM APIs, intelligent automation, personalization) into our ASP.NET MVC products
- Design, develop, and deploy production-grade, secure AI systems using scalable polyglot microservices
- Integrate enterprise LLMs (Anthropic Claude, OpenAI, Google Gemini) into SaaS platforms via fault-tolerant API routing gateways
- Develop autonomous multi-agent workflows using parallel orchestration tools (Claude Code CLI, OpenAI Codex)
- Build new product surfaces — smart content recommendations, automated compliance tracking, AI-assisted reporting
- Rapidly prototype → validate via adversarial testing → deploy → iterate
- Implement complex RAG pipelines and optimize trade-offs between massive-context hydration and multi-stage semantic retrieval
- Build vector databases (Pinecone, Weaviate, FAISS) and manage persistent document embedding queues
- Build polyglot microservices handling long-running tasks and streaming via 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 high-impact modernization opportunities across our training and compliance platform
- Help 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
- Work directly with non-technical stakeholders to translate ambiguous business problems into secure, scalable AI solutions
- Collaborate with product and design to ship features end-to-end
Skills
- 3–5+ years of enterprise software development experience with strong full-stack web fundamentals
- Hands-on experience with .NET / ASP.NET MVC (our core stack) and C#
- Fluency across popular languages and frameworks: Python, JavaScript, TypeScript, .NET, NextJS
- Solid understanding of relational databases — MS SQL experience a plus
- Backend experience designing polyglot APIs, decoupled async microservices, and persistent connection protocols (WebSockets/SSE)
- Familiarity with containerization (Docker, Kubernetes) and multi-region cloud infrastructure (AWS, Azure, or GCP)
- Practical experience integrating AI/ML APIs or building AI-powered features in production
- Enterprise LLM integration and dynamic API routing (OpenAI, Anthropic, Gemini)
- Multi-agent orchestration and advanced CLI tooling (Claude Code, OpenAI Codex)
- Mastery of AI IDE tooling: Cursor for repo-wide reasoning, GitHub Copilot
- RAG pipeline design: dynamic chunking, vector databases, embedding management
- Custom evaluations (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 integrated 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
- Highly hands-on — you ship, not just design; you operate at velocity by orchestrating autonomous tools
- Entrepreneurial startup mindset — you spot legacy inefficiencies and act with a bias toward rapid action
- Comfortable with ambiguity — you scope, own, and deliver independently
- Business-oriented — you care about ROI, operational leverage, and financial metrics like NRR and CAC
- Strong product instincts — you think about the user, not just the implementation
- Fast learner — you track real-time shifts in AI ecosystems, APIs, and infrastructure
- Pragmatic — you use the right secure enterprise tool for the bottleneck, not just the flashiest one
- Experience with prompt engineering, RAG pipelines, or agentic workflows
- Familiarity with refactoring or re-architecting legacy .NET applications
- Background in regulated industries: HR tech, e-learning, compliance, LMS platforms
- Knowledge of SOC 2 audit requirements and compliance automation tooling
Benefits
- Remote work arrangement
- Shape the AI strategy of a growing compliance and training platform
- Own meaningful features from day one — not just tickets in a backlog
- Collaborative, low-ego team that ships and iterates fast
- Startup velocity inside an established, well-resourced corporate portfolio
Company Overview