Role: Full Stack Forward Deployed Engineer

Location: Orlando (Work from office from day 1)

Duration:6+Months

Job description:

Below is a professional Job Description for a Full Stack Forward Deployed Engineer role aligned to the client's technology stack and expectations.

Full Stack Forward Deployed Engineer

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 Master's 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

Experience building RESTful APIs, microservices, and enterprise-grade applications.
Hands-on experience with Applied AI, including:

Generative AI solutions
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.

Nice-to-Have Skills

Experience with Azure Cloud Services (Azure App Services, Functions, Storage, Key Vault, API Management).
Knowledge of AI agent frameworks and orchestration tools such as LangChain, Semantic Kernel, AutoGen, or CrewAI.
Experience with vector databases and semantic search technologies.
Knowledge of machine learning lifecycle and MLOps practices.
Experience with Spark, PySpark, or Delta Lake.
Exposure to data visualization platforms such as Power BI.
Experience with containerization technologies including Docker and Kubernetes.
Knowledge of event-driven architectures and messaging platforms.
Experience working in consulting, client-facing, or forward-deployed engineering environments.
Familiarity with Agile/Scrum development methodologies.

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.

Full Stack Forward Deployed Engineer

Key skills

About this role