Note: The job is a remote job and is open to candidates in USA. ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with clients. They are seeking a Senior Software Engineer, AI/ML who combines a strong .NET engineering foundation with hands-on experience in building AI-powered systems in production.

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

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
• 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

Company Overview