Technical Architect - Full Stack & Generative AI

Sumeru Solutions
United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

HTML Java (Programming Language) JavaScript (Programming Language) .NET Framework Application Programming Interfaces (APIs) Artificial Intelligence Applications Architecture Cascading Style Sheets (CSS) Cloud Computing Code Review Databases Continuous Integration
+27 more
Software Design Patterns DevOps Design of User Interfaces Human-Computer Interaction Python (Programming Language) PostgreSQL Microsoft SQL Server MongoDB NoSQL Oracle (Applications) SQL Databases Systems Integration TypeScript Scripting Enterprise Software Applications Cloud Platform System .NET Core Retrieval-Augmented Generation Large Language Models Prompt Engineering Generative AI Backend Agentic-AI AngularJS Front End Software Development Restful APIs Microservices

Requirements

Artificial Intelligence (AI), Application Programming Interface (API), Python Programming/Scripting Language, Enterprise Applications, Artificial Intelligence (AI), User Interface/Experience (UI/UX), Microsoft .NET, Java, Enterprise Architecture, DevOps, Technical Architect - Full Stack & Generative AI Experience: 10+ years Role Summary Looking for a Technical Architect with strong expertise in full-stack development, enterprise application architecture, and Generative AI. The candidate should be hands-on across Java, .NET, Python, modern UI technologies, databases, APIs, and AI-driven application architecture. Key Responsibilities Design and architect scalable, secure, high-performance full-stack enterprise applications. Provide hands-on technical expertise in Java, .NET/.NET Core, and Python. Architect modern front-end applications using Angular, TypeScript, JavaScript, HTML, and CSS. Design REST APIs, microservices, backend services, and system integrations. Work with MongoDB, SQL Server, Oracle, PostgreSQL, and other relational/NoSQL databases. Architect and develop Generative AI solutions using LLMs, RAG, embeddings, vector databases, prompt engineering, and AI agents. Design integration patterns between AI solutions and enterprise applications/APIs. Define application architecture, technical standards, design patterns, reusable components, and coding best practices. Ensure scalability, security, performance, reliability, and maintainability of solutions. Support cloud-based architecture, CI/CD, DevOps, and application modernization. Perform architecture, design, and code reviews and provide technical guidance to development teams. Collaborate with business, engineering, product, security, and other stakeholders to translate requirements into technical solutions. Required Skills Java | .NET/.NET Core | Python | Angular | TypeScript | JavaScript | HTML | CSS | REST APIs | Microservices | MongoDB | SQL/NoSQL Databases | LLMs | RAG | Embeddings | Vector Databases | Prompt Engineering | AI Agents | Cloud | CI/CD | DevOps | Solution Architecture

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