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    Home/Jobs/Software Engineer, AI Squads

    Software Engineer, AI Squads

    Telnyx

    Bengaluru
    3-5 years
    1 day ago
    ₹13–25 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    Transformers
    vLLM
    Embeddings
    PyTorch
    DeepSpeed
    Ray
    Docker
    Kubernetes
    Prometheus
    Jaeger
    quantization
    speculative decoding
    AI inference

    Description

    Telnyx is a leader in global connectivity building AI-powered microservices and platforms for seamless interconnection. The role focuses on developing scalable AI systems with a strong emphasis on reliability, performance, and innovation.

    Company: Telnyx

    Role: Software Engineer, AI Squads

    Location: Hanoi, Vietnam; Ho Chi Minh, Vietnam; Bangalore, India

    Experience:

    • Experience building with cutting-edge AI tooling developed in the last 6 months
    • Strong understanding of async programming, concurrency, and parallel execution
    • Experience with microservice-based systems

    Key Skills:

    • AI tooling
    • async programming
    • concurrency
    • parallel execution
    • microservices
    • APIs
    • cloud-native technologies
    • text and voice processing

    Responsibilities:

    • Build, test, and deploy scalable microservices for AI-powered systems
    • Design developer-friendly APIs, agents, and internal tools for AI integration
    • Contribute to AI inference, embeddings, and platform services for real-time workloads
    • Optimize performance, reliability, and observability in production
    • Collaborate with Product, Infrastructure, and ML teams from ideation to production
    • Troubleshoot, debug, and support critical production systems
    • Participate in code reviews and uphold engineering and operational standards

    Additional responsibilities:

    • Work in squads focusing on inference pipelines, platform foundations, observability, data systems, or production troubleshooting
    • Adapt role focus based on team needs and strengths

    Nice to have:

    • Familiarity with LLM frameworks and tools such as PyTorch, Transformers, DeepSpeed, vLLM
    • Experience with distributed computing frameworks like Ray (Ray Core, Serve, Train)
    • Exposure to cloud-native stacks including Docker, Kubernetes, Prometheus, Jaeger
    • Knowledge of LLM optimization techniques such as quantization and speculative decoding
    • Background in Retrieval Augmented Generation (RAG) systems

    Other:

    • Telnyx is financially stable and profitable, investing in pioneering technologies and continuous learning
    • AI Chapter consists of multiple squads including application engineering, platform foundations, reliability, data, and observability
    • Hiring process focuses on core engineering skills, system design, and problem-solving
    • Final squad alignment based on candidate strengths, interests, and team needs
    • TelnyxAI platform enables storing and serving vector embeddings at scale and deploying multimodal AI features
    • Autonomy to own meaningful projects and contribute to product roadmap
    • Collaborate with a talented team focused on impact, quality, and long-term thinking

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

    Deep Neural Networks with PyTorch

    Coursera

    Hands-on PyTorch from tensors to CNNs and transfer learning.

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