Senior .NET & AI/ML Software Engineer
ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients – spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale. We’re looking for a Senior Software Engineer, AI/ML who combines a strong .NET engineering foundation with real, hands‑on experience building AI‑powered systems in production. This is not an “AI‑curious” role — it requires someone who has shipped AI features, understands the constraints of real‑world deployment, and can influence both technical and product direction. This is a 100% remote full-time position.
Key Responsibilities
Design, build, and deploy AI‑powered features and systems within a modern .NET environment. Own technical direction for AI/ML components, including architecture, model integration, and performance optimization. Partner with product, engineering, and client stakeholders to shape the roadmap for AI‑driven capabilities. Evaluate and integrate LLMs, vector search, embeddings, and other modern AI techniques into production workflows. Lead by example through high‑quality code, strong engineering practices, and thoughtful technical decision‑making. Drive experimentation, prototyping, and rapid iteration to validate AI‑powered product ideas. Ensure AI systems are reliable, observable, and maintainable in production environments. Mentor engineers and contribute to a culture of technical excellence and innovation. Required Experience & Skills Strong .NET engineering background with experience building production-grade systems. Demonstrated experience shipping AI/ML features in production, not just experimentation or conceptual familiarity. Hands-on experience integrating LLMs, model APIs, vector databases, or ML pipelines. Ability to influence architecture, product direction, and long-term technical strategy. Strong problem-solving skills and comfort operating in high-autonomy environments. Excellent communication skills and the ability to collaborate with cross-functional teams. Experience working in fast-paced, client-facing, or consulting-style environments is a plus.
Nice-to-Have
Skills Experience with Azure AI, OpenAI, or other enterprise AI platforms. Background in ML Ops, model evaluation, or production monitoring of AI systems. Experience with distributed systems, event-driven architectures, or cloud-native design. Prior work on financial, payments, or risk-related systems. Who Thrives Here Engineers who want to own both the technical and product direction of AI features. Builders who are excited to bring AI from concept to production reality. Senior ICs who operate with autonomy and influence without needing formal authority. People who want to work on high-impact, client-facing initiatives with real-world complexity.