AI Engineer
Valsoft Corporation13 days ago
Remote, United StatesMid Level / Senior
Responsibilities
- Integrate LLM APIs, intelligent automation, and personalization into ASP.NET MVC products.
- Design, develop, deploy, and scale secure production-grade AI systems and polyglot microservices.
- Integrate Anthropic Claude, OpenAI, and Google Gemini through fault-tolerant API routing gateways.
- Build autonomous multi-agent workflows, AI-powered product surfaces, RAG pipelines, vector database systems, and document embedding queues.
- Develop long-running and streaming services using WebSockets and Server-Sent Events.
- Implement SOC 2 controls, data residency safeguards, deterministic policy-as-code execution, and secure managed-cloud deployment.
- Modernize legacy .NET features into scalable AI-native architectures and build AI-driven CI/CD, testing, and synthetic red-teaming workflows.
- Collaborate with non-technical stakeholders, product, and design to translate business problems into secure, scalable solutions.
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 with Python, JavaScript, TypeScript, .NET, and NextJS.
- Experience with relational databases, with MS SQL experience preferred.
- Experience designing polyglot APIs, asynchronous microservices, WebSockets, and Server-Sent Events.
- Familiarity with Docker, Kubernetes, and multi-region infrastructure on AWS, Azure, or GCP.
- Practical experience integrating AI/ML APIs or building AI-powered production features.
- Experience with enterprise LLM integration, dynamic API routing, multi-agent orchestration, RAG pipelines, vector databases, embeddings, custom evaluations, structured outputs, and managed fine-tuning.
- Experience with AI IDE and developer tools including Cursor, GitHub Copilot, Claude Code, and OpenAI Codex.
- Experience building CI/CD, automated testing, adversarial LLM testing, synthetic red-teaming, enterprise guardrails, and policy-as-code execution.
- Prompt engineering, legacy .NET refactoring, regulated-industry experience, and SOC 2 knowledge are preferred.
Benefits
- Remote, full-time position in the United States.
- Opportunity to shape AI strategy and own meaningful product features from day one.
- Work on legacy modernization and greenfield AI initiatives within an established, well-resourced corporate portfolio.
- Collaborative, low-ego team with startup velocity and rapid iteration.
Tech Stack
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