Why This Role Stands Out
This on-site Full Stack Forward Deployed Engineer role at Nutech Systems, Inc. offers an exciting opportunity to build cutting-edge AI-powered applications and directly impact business solutions. You'll thrive here if you're a mid-senior engineer with a passion for full-stack development, eager to collaborate with stakeholders and drive innovative technology solutions from concept to deployment. Apply now to join a forward-thinking team and expand your expertise in enterprise applications and AI integration.
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Orlando, FL, United States
Posted
Yesterday
ScrumAgile
Job Description
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.
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