Lead Engineer - Back-end

November 13, 2024

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Code and Theory

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Code and Theory is a technology-first creative agency that operates at the intersection of creativity and technology. The company partners with media and publishing companies to shape political news and delivers digital transformation for ambitious brands like Microsoft, Amazon, NFL, and more. As a trusted partner, the agency is known for its expertise in building end-to-end solutions that address consumer and business needs in today's evolving digital landscape. With a team composed of 50% engineers and 50% creatives, Code and Theory redefines the digital experience across various industries including automotive, sports, hospitality, finance, and education. They are recognized for their innovative approach in business transformation, AI-driven design systems, and strategic digital marketing initiatives.

- employees

Founded 2011

🤝 B2B

☁️ SaaS

📋 Description

• Our Engineering team ensures Code and Theory delivers scalable, high-performance, web applications that delight users. • We always strive to balance the demanding nature of working on cutting-edge technologies with the real-world demands of high-performance web applications. • Working in collaboration with our multi-disciplinary engineering, design, and quality assurance teams, you will build software that solves real-world problems for incredible clients. • Our Back-end Engineers partner with our cross-functional teams to identify and implement innovative technologies that ensure server-side applications are robust, secure, efficient, and drive business growth. • Be a hands-on leader to engineering teams in successfully delivering scalable, maintainable, and secure features to our customers; advocating for clean code, process enhancements, and continuous improvements. • Integrate Foundation Model LLMs and internal RAG systems into backend services. • Implement workflow orchestration logic to manage task dependencies and execution order. • Collaborate with AI specialists to effectively integrate LLMs and RAG systems. • Work closely with frontend developers and other team members to ensure seamless integration of backend components. • Ensure the system is scalable and efficient, capable of handling high loads and complex workflows. • Implement asynchronous processing, caching mechanisms, and optimize communication protocols. • Implement logging, monitoring, and alerting mechanisms to track system performance and agent activities. • Adhere to best practices for data privacy and security, including encryption and compliance with relevant regulations. • Write clear, comprehensive technical documentation for developed components. • Develop unit tests, integration tests, and conduct thorough testing to ensure reliability and robustness. • Complete assigned tasks in a timely manner within project constraints. • Cultivate a collaborative working environment and a culture of technical ownership.

🎯 Requirements

• 8 years minimum experience in software programming, specializing in back-end software development • Proven experience with Python, and experience with Go or Java is a plus • Deep understanding of designing and implementing complex workflows. Experience with LangChain is a plus. • Familiarity with AI frameworks (e.g., TensorFlow, PyTorch) and working knowledge of LLMs • Experience with RESTful APIs, gRPC, and asynchronous communication • Proficiency with both SQL and NoSQL databases; experience with state management • Experience with message brokers like RabbitMQ or Apache Kafka • Experience with Docker and Kubernetes for deploying scalable applications • Understanding of authentication, authorization, encryption, and secure coding practices • Experience with Retrieval-Augmented Generation (RAG) systems. Knowledge of prompt engineering and persona-based AI model interactions. Familiarity with Hugging Face Transformers or similar libraries. • Experience with CI/CD pipelines and infrastructure as code tools (e.g., Terraform, Ansible). Familiarity with cloud platforms such as AWS, Google Cloud Platform, or Azure. • Experience with monitoring and logging tools like Prometheus, Grafana, ELK Stack, or OpenTelemetry. • Strong experience with workflow orchestration tools (e.g., Prefect, Temporal.io, Apache Airflow). • Experience integrating with AI/ML models, particularly Large Language Models (LLMs) • Proven experience in building distributed systems and microservices architecture • Act as product evangelist with deep curiosity on technology trends and being able to go deep into technology and relate technical enhancements to build a product vision • Must be a compelling and clear communicator; able to explain the full possibilities of the tech stack/architecture and represent your team to internal and external audiences with differing levels of technical fluency • Self-motivated and focused on achieving excellence as a team