Senior Full-stack Engineer AI Integration
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About the Role
We are seeking a highly skilled Senior Full-stack Engineer with strong experience in .NET and Angular, and a passion for AI-powered enterprise solutions. In this role, you will rotate across multiple product teams, helping to design, build, and deliver innovative features that integrate Generative AI and machine learning capabilities into our products.
This position is ideal for an engineer who thrives in dynamic environments, enjoys working across diverse codebases, and is excited by the challenge of applying AI to solve real-world business problems at scale.
You will play a critical role in shaping the future of our products by embedding AI-driven functionality into existing and new platforms, while maintaining high standards of performance, security, and maintainability.
Key ResponsibilitiesDesign, develop, and deliver end-to-end full-stack features using .NET (C#) on the backend and Angular on the frontend
Integrate AI and Generative AI capabilities (e.g., LLMs, AI APIs, embeddings, copilots, intelligent automation) into enterprise-grade applications
Rapidly onboard to unfamiliar codebases, understand system architecture, and contribute meaningful improvements in a short timeframe
Collaborate with multiple product teams, rotating between projects as business needs evolve
Work closely with product managers, designers, data scientists, and AI engineers to translate requirements into robust technical solutions
Design and implement scalable APIs, services, and data flows to support AI-driven features
Ensure solutions meet security, performance, reliability, and compliance standards
Participate in architectural discussions, technical design reviews, and code reviews
Improve development practices, tooling, and documentation across teams
Mentor and support other engineers by sharing best practices and technical guidance
6+ years of professional experience in full-stack software development
Strong backend expertise in .NET / C# (ASP.NET Core, Web APIs, microservices)
Strong frontend experience with Angular, TypeScript, HTML, and CSS
Proven ability to quickly understand and contribute to large, complex codebases
Experience integrating third-party APIs and external services
Solid understanding of software architecture, design patterns, and clean code principles
Experience with relational and/or NoSQL databases
Familiarity with CI/CD pipelines, version control, and modern DevOps practices
Strong problem-solving skills and the ability to work independently across teams
Hands-on experience integrating AI/ML or Generative AI solutions into production systems
Familiarity with LLMs (e.g., OpenAI, Azure OpenAI, or similar platforms)
Experience using cloud platforms (Azure preferred, AWS or GCP acceptable)
Understanding of prompt engineering, embeddings, vector search, or AI orchestration patterns
Awareness of AI-related concerns such as data privacy, security, latency, and cost optimization
Experience working in enterprise SaaS products
Exposure to event-driven architectures, messaging systems, or distributed systems
Prior experience rotating across multiple teams or products
Interest in staying current with emerging AI tools, frameworks, and best practices
Opportunity to work at the intersection of AI and enterprise software
Exposure to multiple products and teams, keeping the work varied and challenging
High impact role with influence over technical direction and AI strategy
Collaborative, engineering-driven culture that values learning and innovation
Competitive compensation and benefits
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