Senior AI Software Engineer (.NET (C#) and JavaScript.)

Aspire Software

We are seeking an Senior AI Software Engineer to join one of our AI Pods. This is a hands on development role focused on building innovative AI-powered solutions and applications across multiple portfolio companies. You will collaborate with senior engineers, architects, and business stakeholders to translate requirements into working features, with a strong emphasis on modern development practices and automation. If you are passionate about AI, comfortable working across .NET and JavaScript/Bootstrap frontends, and excited by projects involving GEO mapping services and data visualization, this role is an excellent fit

AI-Powered Development:

• Design and implement AI-enabled features within enterprise web applications.
• Build RESTful APIs, microservices, and front-end components using .NET and JavaScript frameworks
• Integrate mapping APIs (e.g., Google Maps, Leaflet, Mapbox) for spatial data visualization

Collaborate & Execute:

• Work closely with senior engineers and product owners to clarify requirements and deliver solutions that add measurable business value.
• Participate in sprint planning, code reviews, and backlog grooming

Automation & Quality:

• Contribute to CI/CD pipelines and testing automation to ensure smooth, reliable releases.
• Support efforts to reduce technical debt and improve maintainability

AI Tooling & Experience:

• Experiment with and apply Generative AI and ML tools where they can accelerate development or improve user experience.
• Share findings and best practices with the team.

Problem Solving:

• Troubleshoot and optimize performance, scalability, and data-handling issues.
• Adapt to different technical environments across the portfolio.

• 5 8 years of experience in software engineering with .NET (C#) and JavaScript
• Experience with Bootstrap or similar front-end frameworks.
• Familiarity with GEO mapping services (Google Maps API, Leaflet, or similar) preferred.
• Understanding of RESTful APIs, SQL/NoSQL databases, and modern deployment practices.
• Exposure to Generative AI or machine learning development tools (Claude Code, Github Copilot, AWS Bedrock, OpenAI, LangChain, Azure AI, etc.) preferred
• Architect and optimize vector database solutions to power semantic search and enhance retrieval-augmented generation (RAG) workflows with scalability and efficiency
• Familiarity with Git-based workflows and CI/CD pipelines.
• Implement privacy-preserving AI practices, ensuring compliance with data protection regulations while safeguarding sensitive information through techniques such as data anonymization, secure model training, and responsible governance
• Adept at Prompt and Context Engineering best practices. You have created reusable prompt templates, blueprints, and processes
• Collaborative mindset with strong communication skills.
• Comfortable working in a remote, distributed environment.
• Willingness to learn, experiment, and take initiative.
• Working hours based on Eastern Time Zone due to collaboration needs across North America and Europe