About Us At Edifyer Technologies, we’re building a category-defining, AI-first product at the intersection of conversational AI, real-time 3D, and experiential, hyper-personalised learning. Our mission is to transform how organizations learn — by making workforce training intelligent. If you're a bold builder ready to shape the core of a high-impact product, this is your moment. Who We're Looking For We're seeking a Technical Co-founder & CTO who thrives in early-stage chaos, enjoys solving complex technical challenges, and is eager to lead the AI/ML strategy from the ground up. This is more than a job—it's an opportunity to join as a co-founder, build and own key technical systems, and directly influence the trajectory of the company. Core Responsibilities Define and evolve the long-term technical vision, architecture, and system design for scalability Drive the transition from MVP prototypes to enterprise-grade, production-ready systems Collaborate closely with product and design leads to rapidly prototype and iterate on user-centric features Fine-tune and serve 6B–13B parameter Large Language Models (LLMs) using Triton and TensorRT Integrate retrieval-augmented generation (RAG) pipelines and AI safety layers (filters, guardrails, etc.) Design real-time pipelines (STT → LLM → TTS → Unity) using WebSockets or gRPC Optimize for ultra-low latency to ensure a smooth frame budget across Unity experiences Partner with SDK leads to expose clean, developer-friendly C# APIs Enable microphone capture and viseme-driven lip sync for WebGL/WebXR environments Set up spot-GPU orchestration using Kubernetes (K8s) and Terraform-based Infrastructure as Code (IaC) Build and manage CI/CD pipelines (blue-green deployments); set up monitoring dashboards for cost and latency Implement OAuth2/JWT-based auth, secure secret management, and rate-limiting Lead security hardening (OWASP) and lay the groundwork for SOC 2 Type I compliance Hire and mentor a small founding tech team on ESOP + cash terms Cultivate a strong engineering culture focused on velocity, quality, and ownership. Manage relationships with key vendors (GPU providers, cloud infra, AI APIs) to optimize cost and reliability Engage directly with early customers and partners to gather feedback, debug live issues, and validate technical direction. What We’re Offering Opportunity to become a Co-founder + Significant Equity Ownership - Your contribution deserves long-term upside. Edifyer Technologies will be your company too. Creative and Technical Freedom - You’ll have a blank canvas to build, experiment, and ship without red tape. High-Impact Mission - Your work will lay the foundation for the next-generation of enterprise learning platforms from India that will transform the learning culture of organisations world-wide. Next-gen Tech Stack - You get to work with the cutting-edge LLMs, STT/TTS, ASR, scalable cloud infra, etc.— and build a world class system. Ideal Candidate Profile 7+ years building distributed or real-time ML systems; 2+ years technical leadership. Hands-on LLM or speech experience : Triton, TensorRT, Riva, Whisper, or similar - demonstrated < 1 s latency. Deep Python (FastAPI) & C# expertise; comfort with micro-services, gRPC, WebSockets. Unity/WebGL chops : Profiling, memory tuning, audio pipelines, viseme/blendshape animation. Cloud-native engineering : Docker, K8s, autoscaling, Terraform/Pulumi, Prometheus/Grafana. Security mindset : OAuth2, TLS everywhere, moderation gates, GDPR awareness. Entrepreneurial stamina : Persistence and optimistic outlook even in the face of challenge or setback. How to Apply? Email us your GitHub, portfolio, or any past projects you're proud of. We're more interested in your curiosity, initiative, and raw capability. Email : contact@edifyer.io Subject: Applying for Technical Co-founder & CTO – [Your Name] Show more Show less
About Us Edifyer is building the next generation of corporate learning for India. We are on a mission to help L&D teams create conversational AI-powered hyper‑personalised courses, exercises, and role‑plays that adapt in real time to each learner. As a founding AI Engineer, you will own the development of our core conversational AI engine and the no‑code authoring studio that lets L&D teams design and deploy training in minutes. If you love shipping 0→1 products, sweating latency and quality, and seeing your work in the hands of thousands of learners, this one’s for you. Who We're Looking For We're seeking a Founding AI Engineer who thrives in early-stage chaos, enjoys solving complex technical challenges, and is eager to lead the AI/ML strategy from the ground up. This is more than a job—it's an opportunity to join as a founding member, build and own key technical systems, and directly influence the trajectory of the company. Core Responsibilities Define and evolve the long-term technical vision, architecture, and system design for scalability Drive the transition from MVP prototypes to enterprise-grade, production-ready systems Collaborate closely with product and design leads to rapidly prototype and iterate on user-centric features Fine-tune and serve Large Language Models (LLMs) using Triton and TensorRT Integrate retrieval-augmented generation (RAG) pipelines and AI safety layers (filters, guardrails, etc.) Design real-time pipelines (STT → LLM → TTS ) using WebSockets or gRPC Set up spot-GPU orchestration using Kubernetes (K8s) and Terraform-based Infrastructure as Code (IaC) Build and manage CI/CD pipelines (blue-green deployments); set up monitoring dashboards for cost and latency Implement OAuth2/JWT-based authorization, secure secret management, and rate-limiting Lead security hardening (OWASP) and lay the groundwork for SOC 2 Type I compliance Engage directly with early customers and partners to gather feedback, debug live issues, and validate technical direction. What We’re Offering Opportunity to become a founding member + ESOP - Your contribution deserves the long-term upside in companies' success- this could be your life-changing opportunity for significant wealth creation. Creative and Technical Freedom - You’ll have a blank canvas to build, experiment, and ship without red tape. High-Impact Mission - Your work will lay the foundation for the next-generation of enterprise learning platforms from India that will transform the learning culture of organisations world-wide. Next-gen Tech Stack - You get to work with the cutting-edge LLMs, STT/TTS, ASR, scalable cloud infra, etc.— and build a world class system. Ideal Candidate Profile 3+ years building distributed or real-time ML systems Hands-on LLM or speech experience : Triton, TensorRT, Riva, Whisper, or similar - demonstrated < 1 s latency. Deep Python (FastAPI) expertise; comfort with micro-services, gRPC, WebSockets. Cloud-native engineering : Docker, K8s, autoscaling, Terraform/Pulumi, Prometheus/Grafana. Security mindset : OAuth2, TLS everywhere, moderation gates, GDPR awareness. Entrepreneurial stamina : Persistence and optimistic outlook even in the face of challenge or setback. Apply Send your resume/LinkedIn/GitHub to contact@edifyer.io with the subject line: “Founding AI Engineer — Your Name”. A short note on why this mission resonates with you will go a long way.
About Us Edifyer is building the next generation of corporate learning for India. We are on a mission to help L&D teams create conversational AI-powered hyper‑personalized coaching and role‑plays that adapt in real time to each learner. As a founding AI Engineer, you will own the development of our core conversational AI engine and the no‑code authoring studio that lets L&D teams design and deploy training in minutes. If you love shipping 0→1 products, sweating latency and quality, and seeing your work in the hands of thousands of learners, this one’s for you. Who We're Looking For We're seeking a Founding AI Engineer who thrives in early-stage chaos, enjoys solving complex technical challenges, and is eager to lead the AI/ML strategy from the ground up. This is more than a job—it's an opportunity to join as a founding member, build and own key technical systems, and directly influence the trajectory of the company. Core Responsibilities Define and evolve the long-term technical vision, architecture, and system design for scalability Drive the transition from MVP prototypes to enterprise-grade, production-ready systems Collaborate closely with product and design leads to rapidly prototype and iterate on user-centric features Fine-tune and serve Large Language Models (LLMs) using Triton and TensorRT Integrate retrieval-augmented generation (RAG) pipelines and AI safety layers (filters, guardrails, etc.) Design real-time pipelines (STT → LLM → TTS ) using WebSockets or gRPC Set up spot-GPU orchestration using Kubernetes (K8s) and Terraform-based Infrastructure as Code (IaC) Build and manage CI/CD pipelines (blue-green deployments); set up monitoring dashboards for cost and latency Implement OAuth2/JWT-based authorization, secure secret management, and rate-limiting Lead security hardening (OWASP) and lay the groundwork for SOC 2 Type I compliance Engage directly with early customers and partners to gather feedback, debug live issues, and validate technical direction. What We’re Offering Opportunity to become a founding member + ESOP - Your contribution deserves the long-term upside in companies' success- this could be your life-changing opportunity for significant wealth creation. Creative and Technical Freedom - You’ll have a blank canvas to build, experiment, and ship without red tape. High-Impact Mission - Your work will lay the foundation for the next-generation of enterprise learning platforms from India that will transform the learning culture of organisations world-wide. Next-gen Tech Stack - You get to work with the cutting-edge LLMs, STT/TTS, ASR, scalable cloud infra, etc.— and build a world class system. Ideal Candidate Profile 3+ years building distributed or real-time ML systems Hands-on LLM or speech experience : Triton, TensorRT, Riva, Whisper, or similar - demonstrated < 1 s latency. Deep Python (FastAPI) expertise; comfort with micro-services, gRPC, WebSockets. Cloud-native engineering : Docker, K8s, autoscaling, Terraform/Pulumi, Prometheus/Grafana. Security mindset : OAuth2, TLS everywhere, moderation gates, GDPR awareness. Entrepreneurial stamina : Persistence and optimistic outlook even in the face of challenge or setback. Apply Send your resume/LinkedIn/GitHub to contact@edifyer.io with the subject line: “Founding AI Engineer — Your Name”. A short note on why this mission resonates with you will go a long way.