Highlights
Join a dynamic team shaping the future of intelligent communication. Own meaningful projects, contribute to product roadmap decisions, and collaborate with talented experts.
Description
Job Summary
pJoin the forefront of global connectivity at Telnyx, an industry leader in transformative communication solutions. Our AI teams focus on developing cutting-edge microservices and tools for real-time and low-latency workloads, ensuring reliability and performance in production environments.
Responsibilities
- Build and deploy scalable microservices for AI-powered systems
- Design developer-friendly APIs and internal tools
- Contribute to AI inference, embeddings, and platform services
- Optimize performance and observability in production environments
- Collaborate with cross-functional teams to bring features from ideation to production
Required Skills
- Async Programming & Concurrency
- Microservice Architecture
- Cloud-Native Technologies
- System Design & Problem Solving
- Data Flow Optimization
Required Skills Explained
- Async Programming, Concurrency, and Parallel Execution: Understanding these concepts is crucial for developing highly performant and scalable microservices.
- Microservice-Based Systems: Familiarity with designing, building, and managing microservices that interact efficiently within a larger system.
- Excellent Communication Skills: The ability to communicate effectively across teams ensures smooth collaboration and project success.
- LLM Frameworks (e.g., PyTorch, Transformers): Knowledge of these frameworks can help in building and optimizing AI models for inference and embeddings.
- Distributed Computing Frameworks (e.g., Ray): Experience with such tools aids in managing distributed workloads effectively.
- Cloud-Native Stacks: Proficiency in working with Docker, Kubernetes, Prometheus, Jaeger, etc., to build robust, scalable systems that can operate in cloud environments.
- LLM Optimization Techniques (e.g., Quantization): Understanding how to optimize AI models for better performance and efficiency is important.
- Retrieval Augmented Generation (RAG) Systems: Familiarity with these systems enhances your ability to work on complex NLP tasks.
Who is this for
pWe are seeking individuals who are passionate about building scalable and reliable AI systems. You should have experience with cutting-edge AI tooling, strong communication skills, and the ability to work effectively in a fast-paced environment.
Why This Job is a Good Opportunity
ulliOpportunity to Work on Cutting-Edge Technology: The role involves working with the latest AI technologies and contributing to innovative solutions that shape the future of global connectivity.liImpactful Projects: You'll have the chance to take ownership of meaningful projects that can significantly impact real-world applications.liTalented Colleagues: Collaborating with a highly skilled team of engineers, product managers, and data scientists will provide a rich learning environment.liGrowth and Development: The company's financial stability allows for investment in employee growth through continuous learning programs and opportunities to advance your career.
Interview Preparation Tips
- Understand the Role’s Scope: Research Telnyx’s AI initiatives and how they integrate with other products, such as the TelnyxAI Platform.
- Prepare Technical Examples: Be ready to discuss specific projects or contributions you have made that demonstrate your skills in areas like microservices, concurrency, and LLM optimization.
- PRACTICE System Design Questions: These are common in technical interviews and can help assess how well you understand complex systems and design efficient solutions.
- Communicate Your Approach: Highlight not just the tools or technologies you use but also your problem-solving process and communication skills across different teams.
- Stay Up to Date with Latest AI Trends: Keep an eye on recent advancements in AI, especially those that align with Telnyx’s focus areas like embeddings, inference pipelines, and distributed computing frameworks.
Career Growth in This Role
pThe role of a Developer in the AI team at Telnyx offers numerous opportunities for career growth. With a strong emphasis on innovation and practical application, you can advance your skills in developing scalable microservices, building robust APIs, and optimizing AI systems for real-world use cases.pOver time, you might progress to leading development squads or even take on broader responsibilities such as product management or technical leadership within the AI organization. The collaborative nature of Telnyx ensures that you'll continually learn from your peers and contribute to shaping the future of intelligent communication technology.
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Skills
Frequently Asked Questions
What is the focus of this role?The role focuses on developing reliable, scalable AI systems in production environments using modern cloud-native technologies.
Is experience with LLM frameworks required?While not mandatory, familiarity with LLM frameworks such as PyTorch and Transformers is a plus.
What kind of support can I expect for learning and development?Telnyx fosters an environment of continuous learning and growth. You will have access to training programs and resources.
