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 Thr