Code and Theory · 2 days ago
Lead Engineer, Back-end
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Responsibilities
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
Qualification
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Required
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
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
Company
Code and Theory
Code and Theory is a creatively-led agency that creates products, content and campaigns across physical and digital worlds.
H1B Sponsorship
Code and Theory has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (5)
2022 (1)
2021 (4)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
unknown2016-01-05Acquired· by Stagwell
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