Avenue Code
Full Stack Engineer - Next.js, TypeScript & AI | Azure
Publicada há 6 dias
Candidatar no LinkedInSobre a vaga
<span><strong>About The Opportunity<br><br></strong>We are looking for a highly skilled and experienced<span></span><strong>Full Stack Engineer</strong><span></span>to join our team and contribute to the development of modern, scalable, and AI-powered applications.<br><br>In this role, you will work across the full technology stack, designing, developing, and maintaining web applications, backend services, and data-driven solutions. You will leverage<span></span><strong>Next.js, TypeScript, PostgreSQL, and Microsoft Azure</strong><span></span>to build reliable and high-performance applications while integrating<span></span><strong>Generative AI (GenAI) and Large Language Models (LLMs)</strong><span></span>into business workflows and data-processing solutions.<br><br>You will collaborate closely with engineering teams and business stakeholders to deliver innovative solutions, with a particular focus on applied AI, cloud-native development, and AI-enabled data pipelines.<br><br>The ideal candidate is a hands-on engineer with<span></span><strong>5+ years of professional software engineering experience</strong>, strong expertise in<span></span><strong>Next.js, TypeScript, PostgreSQL, and Azure</strong>, and practical experience developing and integrating<span></span><strong>LLM/GenAI solutions</strong><span></span>into production applications and data workflows.<br><br><strong>Contract Duration:</strong><span></span>4 months<br><br><strong>Responsibilities<br><br></strong><ul><li>Design, develop, test, and maintain scalable full-stack applications using Next.js and TypeScript.</li><li>Build modern, responsive, and maintainable web interfaces that deliver intuitive user experiences.</li><li>Develop and maintain backend services, APIs, and integrations supporting complex business workflows.</li><li>Design, implement, and optimize relational database solutions using PostgreSQL.</li><li>Build and maintain cloud-based applications and services using Microsoft Azure.</li><li>Develop and integrate Generative AI and Large Language Model (LLM) capabilities into applications and business processes.</li><li>Implement AI-powered features and workflows that enhance automation, data processing, and operational efficiency.</li><li>Integrate AI capabilities into data pipelines and data-driven workflows, leveraging tools such as Microsoft Fabric where applicable.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into effective technical solutions.</li><li>Participate in architecture and technical design discussions, contributing to scalable, secure, and maintainable solutions.</li><li>Design and maintain integrations between applications, cloud services, databases, and AI-enabled systems.</li><li>Write clean, efficient, well-tested, and maintainable code following software engineering best practices.</li><li>Troubleshoot technical issues, optimize application performance, and improve system reliability.</li><li>Participate in code reviews, testing, and deployment activities to ensure high-quality software delivery.</li><li>Explore emerging AI technologies and development practices to identify opportunities for continuous improvement.<br><br></li></ul><strong>Required Qualifications<br><br></strong><ul><li>5+ years of professional software engineering experience, with a strong background in full-stack application development.</li><li>Strong hands-on experience with Next.js and TypeScript for developing modern web applications.</li><li>Solid experience with PostgreSQL, including database design, query development, and optimization.</li><li>Practical experience developing, deploying, and maintaining applications using Microsoft Azure.</li><li>Demonstrated hands-on experience with applied AI, including the development and integration of AI-powered capabilities into real-world applications.</li><li>Experience developing solutions using Large Language Models (LLMs) and Generative AI (GenAI).</li><li>Experience incorporating AI capabilities into data pipelines, data-processing workflows, or business automation solutions.</li><li>Strong understanding of modern full-stack architecture, API development, and system integrations.</li><li>Experience working with cloud-based applications and services in production environments.</li><li>Solid understanding of software engineering principles, clean code, testing, and maintainability.</li><li>Experience with Git and collaborative development workflows.</li><li>Strong analytical, troubleshooting, and problem-solving skills.</li><li>Excellent communication and collaboration skills, with the ability to work effectively with distributed teams.</li><li>Ability to work independently, take ownership of technical deliverables, and contribute effectively in a fast-paced, short-term engagement.</li><li>Availability to work full-time with significant overlap with New York business hours.<br><br></li></ul><strong>Nice To Have Skills<br><br></strong><ul><li>Hands-on experience with Microsoft Fabric, particularly for AI-enabled data pipelines, data integration, and analytics workflows.</li><li>Experience with Salesforce, including application integrations, APIs, or data synchronization.</li><li>Familiarity with Azure AI services and tools supporting LLM and GenAI application development.</li><li>Experience designing AI-enhanced data architectures and automated data-processing solutions.</li><li>Familiarity with prompt engineering, retrieval-augmented generation (RAG), or other LLM integration patterns.</li><li>Experience delivering AI-powered solutions in enterprise environments.</li><li>Previous experience working with US-based engineering teams, particularly those operating in the Eastern Time Zone.</li><li>Experience delivering production-ready solutions within short-term, high-impact projects.<br><br></li></ul><em>Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code’s consultants are allocated to perform its services.</em><button><span><span><span>…</span><span> more</span></span></span></button></span>