Dynamo AI is a technology company that specializes in artificial intelligence solutions for businesses.

Dynamo AI

As an On-Device Machine Learning (ML) Frameworks Engineer, you will play a crucial role in developing and optimising machine learning models to run efficiently on various devices such as smartphones, tablets, AI PC and embedded systems. Your work will involve collaborating with cross-functional teams to integrate ML models into applications, ensuring they are both effective and resource-efficient. This role is vital in pushing the boundaries of what's possible with on-device AI, contributing to the enhancement of user experiences and the innovation of new features.
Responsibilties
Optimize machine learning models, ML Graph Conversion Stack & ML Inference Stack for deployment on edge devices.
Develop and maintain OnDevice ML Inference Framework for specialized and general purpose processors
Collaborate with software engineers, data scientists, and product managers to integrate ML solutions into products.
Implement techniques to ensure efficient inference and minimal resource consumption on target devices.
Conduct performance evaluations and continuous improvement of ML models & Inference pipeline post-deployment.
Stay updated with the latest advancements in on-device ML technologies and frameworks.
Troubleshoot and resolve issues related to ML model deployment and execution on devices.
Qualifications
Strong programming skills in languages such as C++, C and Python
Must have experience with in-depth working and core implementation of machine learning frameworks such as TensorFlow Lite, PyTorch Mobile, ONNX or Core ML
Strong experience and proven track record with intrinsic level (SIMD, NEON, AVX) implementation for optimizing compute and memory algorithms
Proven track record of deploying ML models on edge devices and optimizing them for performance and memory
Familiarity with performance profiling tools and techniques for mobile and embedded platforms.
Solid understanding of computer architecture and hardware acceleration techniques.
Effective communication skills and the ability to work collaboratively in a team environment.
Bachelor’s or Master’s degree in Computer Science, Electronics Engineering, or a related field

👨🏻‍💻 Senior Software Engineer - On-Device ML

As a Senior DevOps Engineer at Dynamo AI, you will play a crucial role in ensuring the smooth and efficient operation of our production environments. You will be responsible for building and optimizing our CI/CD pipelines, managing our AWS infrastructure, and overseeing the deployment and maintenance of our Kubernetes clusters. Your role will also involve implementing robust monitoring and alerting systems, maintaining security and compliance standards, and managing infrastructure costs effectively. Your expertise in cloud infrastructure, CI/CD automation, Kubernetes, and security best practices will be essential in driving Dynamo AI's success.
Responsibilities
CI/CD Automation: Build and improve our CI/CD pipelines using Jenkins and the shared library, ensuring efficient and reliable deployment processes. Manage our CD processes using ArgoCD, with an "apps in apps" approach, ensuring seamless deployment of applications.
Production environment setup and maintenance: Manage our entire AWS infrastructure using Terraform, ensuring adherence to best practices. Manage networking configurations, Kubernetes clusters, API Gateway, etc.
Production environment monitoring: Implement and manage monitoring and alerting using the kube-prometheus stack, ensuring high availability and performance. Utilize Fluentd, Kafka, and Elasticsearch for logging and analytics, ensuring comprehensive visibility into our systems.
Production Security and compliance: Implement and maintain security best practices across the production and corporation environments, ensuring compliance with industry standards and regulations. Work with the larger engineer team to handle production incidents and perform root cause analysis. Ensure rapid response and resolution to minimize the impact.
Cost management: Monitor and manage the cost of our infrastructure, implementing cost-saving measures. Ensure efficient use of resources without compromising on performance and reliability.
Collaboration with software engineer team: Work closely with software development teams to understand their needs and communicate the plans. Document infrastructure and processes, ensuring clear and concise documentation.
Qualifications
4+ years in DevOps or related field, with a proven track record of designing, implementing and managing cloud infrastructure on AWS or similar cloud service providers.
Proficiency in IaC and CI/CD automation tools including Terraform, Jenkins, ArgoCD, etc.
Strong expertise in managing Kubernetes clusters. Proficiency in Kubernetes, Helm, operators, Prometheus, Kafka, Elasticsearch, Kong API gateway, etc.
Advanced programming skills in Python and Bash.
Excellent analytical and troubleshooting skills.
Strong communication skills, with the ability to work in a team-oriented environment, and a proactive attitude.
Deep understanding of networking concepts and protocols is highly desirable.
Solid understanding of security best practices and compliance requirements is a significant advantage.

♾️ Senior DevOps Engineer

Dynamo AI is seeking talented software engineers to lead the development of AI features across our web apps, web browser extensions, and applications on edge devices. You will join our team to build the best LLM guardrail system in the market, by exploring the boundaries of what’s possible with our AI solutions, and finding innovative ways to build easy-to-use, performant and secure AI solutions for our customers.
Responsibilities
Design and Develop a client-server mode LLM guardrail system: Work with the team to design and develop the entire system, which spans across the cloud and millions of edge devices.
Web apps and web browser extensions: Develop and maintain web applications and web browser extensions (Chromium, etc.) to seamlessly integrate AI guardrail functionalities into the web browsers.
On-Device Applications: Develop and maintain applications ensuring seamless integration with enterprise applications (MS Office, etc.) to guardrail the LLM functionalities.
Deliver best product in the market: Develop robust, performant and secure software that can be used in production for millions of users. Practice great engineering excellence and ensure high product quality.
Closely collaborate with Teams: Work hand-in-hand with leadership and other teammates to prioritize and execute on our product roadmap.
Closely interact with customers: Directly work with customers to evolve the product and fix issues.
Qualifications
2+ years of full-time experience on designing and building production-ready distributed systems.
Strong coding skills in C++ and JavaScript.
Proficiency in modern web technologies, such as React and Electron.
Experience with AI platforms and technologies, including generative models and LLMs.
Understanding of the Windows OS, and the Win32 API.
Comfortable and eager to meet stakeholders and customers, and develop an understanding of their problems to ensure we're building the right solutions.
Problem-Solving Abilities: Excellent problem-solving abilities and a commitment to innovation and continuous improvement.
Communication: Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.

👨🏻‍💻 Software Engineer - Full Stack

Join our team at Dynamo AI as an Software Engineer in Testing, where you'll play a key role in advancing our AI-driven solutions through innovative testing automation. We're looking for a skilled professional who can be responsible for our QA process, design and implement testing automation frameworks for the engineering team. Your expertise will be crucial in ensuring the reliability, performance, and scalability of our AI technologies.
Responsibilities
Product QA: Lead the QA process for our releases. Guide the engineering team in validating the functionalities and performance of our product.
API Testing Automation: Develop automated tests for APIs using tools like Postman or similar frameworks to validate functionality, performance, and reliability.
UI Testing Automation: Create automated UI tests using tools such as Selenium or Puppeteer to ensure consistent user interface functionality across platforms and devices.
Automation Framework Development: Collaborate with the DevOps team to design and build test automation frameworks tailored for testing Kubernetes-based ML services to ensure robustness and scalability.
Continuous Improvement: Continuously enhance testing processes and methodologies to improve efficiency, reliability, and test coverage.
Documentation: Document test cases, procedures, and results comprehensively to ensure clarity and maintainable testing processes.
Qualifications
Bachelor's degree in Computer Science or a related field (or equivalent experience).
2+ years of experience in software testing and automation framework development.
Proficiency in test frameworks such as Postman, Selenium, and Puppeteer.
Solid coding skills in Python and TypeScript.
Strong sense of responsibility and a commitment to continuous improvement.
Experience in developing CI/CD systems is a plus.
Familiarity with Kubernetes and containerized environments is a plus.


Remote Jobs at Dynamo Ai

👨🏻‍💻 Senior Software Engineer - On-Device ML

♾️ Senior DevOps Engineer

👨🏻‍💻 Software Engineer - Full Stack

👨🏻‍💻 Software Engineer - Testing

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About Dynamo AI