Full Stack Forward Deployed Engineer

Preferred Profile

The ideal candidate combines strong full-stack engineering skills (.NET + Angular) with data engineering expertise (Databricks + SQL) and practical experience delivering Applied AI solutions in enterprise environments. They should be comfortable working directly with business stakeholders to rapidly design, build, and deploy innovative solutions that create measurable business value.

Responsibilities

• Partner directly with business stakeholders, product owners, and engineering teams to understand business challenges and translate them into scalable technology solutions.
• Design, develop, and deploy end-to-end enterprise applications using .NET, Angular, Databricks, SQL, and Applied AI technologies.
• Build and enhance AI-powered applications by integrating Large Language Models (LLMs), generative AI capabilities, and intelligent automation into business workflows.
• Develop scalable APIs, microservices, and backend services using modern .NET frameworks.
• Create responsive and user-friendly web applications using Angular and modern front-end development practices.
• Design and optimize data pipelines, data models, and analytical workloads within Databricks.
• Collaborate with cross-functional teams to rapidly prototype, validate, and deploy solutions in production environments.
• Troubleshoot complex application, data, and integration issues while ensuring high availability and performance.
• Participate in solution architecture discussions, code reviews, and technical design sessions.
• Drive best practices in software engineering, DevOps, security, testing, and continuous delivery.

Must-Have Skills

• Bachelor's or masters degree in computer science, Engineering, Information Systems, or a related field.
• 5+ years of software engineering experience with full-stack application development.
• Strong experience with:
• C# and .NET Core/.NET 8
• Angular (v14+)
• Microsoft SQL Server / SQL Development
• Azure Databricks
• Generative AI solutions
• Experience building RESTful APIs, microservices, and enterprise-grade applications.
• Hands-on experience with Applied AI, including:
• Large Language Models (OpenAI, Azure OpenAI, Claude, etc.)
• Prompt engineering
• AI application integration
• Retrieval-Augmented Generation (RAG) concepts
• Strong understanding of data engineering and analytics workloads using Databricks.
• Experience with Git, CI/CD pipelines, and modern DevOps practices.
• Strong problem-solving skills and ability to work directly with business users and stakeholders.
• Excellent communication and consulting skills.