<p>We are actively seeking experienced Front End Developers to join our talent network for upcoming contract opportunities. These roles support a range of clients and focus on building responsive, user-friendly, and high-performing web applications and digital experiences.</p><p><strong>What You’ll Do</strong></p><ul><li>Develop and maintain responsive web applications using modern front-end frameworks </li><li>Translate UI/UX designs into functional, high-quality code </li><li>Collaborate with designers, back-end developers, and product teams to deliver seamless user experiences </li><li>Ensure cross-browser compatibility, performance optimization, and mobile responsiveness </li><li>Build reusable components and front-end libraries for future use </li><li>Optimize applications for speed, scalability, and accessibility (WCAG standards) </li><li>Debug and resolve front-end issues and technical bugs </li><li>Participate in code reviews and contribute to front-end best practices</li></ul><p> </p>
<p>We are seeking a highly skilled Full Stack Data Engineer who thrives in building modern, scalable data platforms from the ground up. This is an opportunity to work on a cloud-native data stack, influence architecture decisions, and deliver solutions that directly power business insights and operations.</p><p>If you enjoy owning the full lifecycle—from data ingestion to application layer—this role will be a strong fit.</p><p><br></p><p><strong>What You’ll Do</strong></p><p>You will operate as a hands-on engineer across the full data stack:</p><ul><li>Design, build, and maintain scalable ELT pipelines and workflows</li><li>Develop and optimize data models and warehouse structures in Snowflake</li><li>Build full stack data applications and backend services</li><li>Write clean, efficient Python and SQL code</li><li>Develop reusable data frameworks and components</li><li>Implement automated testing for data quality and reliability</li><li>Build and maintain CI/CD pipelines (GitHub-based)</li><li>Create reporting and visualization solutions (Power BI or similar)</li><li>Monitor production systems and troubleshoot data issues proactively</li></ul><p><strong>Tech Stack</strong></p><ul><li>Data Platform: Snowflake</li><li>Languages: Python, SQL</li><li>Cloud: AWS / Azure / GCP (environment dependent)</li><li>DevOps: GitHub, CI/CD pipelines</li><li>Visualization: Power BI (or similar BI tools)</li></ul>
<p>The LLM Programmer will be responsible for building and optimizing applications that leverage large language models (LLMs) to solve business problems, improve user experiences, and automate complex workflows. You will work closely with engineering, product, and data teams to bring AI-driven features from concept to production.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop applications using large language models (e.g., GPT-style systems)</li><li>Build and maintain RAG (Retrieval-Augmented Generation) pipelines to integrate enterprise data with LLMs</li><li>Develop prompt engineering strategies and reusable AI workflows</li><li>Fine-tune or adapt models for domain-specific use cases when needed</li><li>Integrate LLM APIs into production systems and applications</li><li>Optimize performance, latency, cost, and accuracy of AI solutions</li><li>Evaluate model outputs for quality, reliability, and safety</li><li>Collaborate with cross-functional teams to identify and implement AI opportunities</li><li>Stay current with advancements in generative AI and LLM tooling</li></ul>