Convegenius Edu
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Noida · On-site · 1-3 Yrs · 3 days ago
Primary & Secondary Schools · 501 to 1000 Employees · Noida, India
ConveGenius is India's leading AI-powered education infrastructure company and the technology partner governments trust to transform public learning at scale. Founded in 2013 we have spent over a decade building the intelligent systems that connect learners, teachers, administrators and policymakers into one adaptive data-driven ecosystem. Our SwiftVerse product suite SwiftPAL, SwiftClass, SwiftChat and SwiftInsights powers classrooms, governance dashboards and AI-assisted learning programs across 22+ Indian states, reaching crores of learners in some of India's most underserved regions. We are not just an EdTech company. We are the digital backbone of public education infrastructure trusted by state governments, aligned with NEP 2020 and proven in the hardest-to-reach communities in the country. If you want to build technology that actually moves the needle for a billion learners not just looks good in a demo, this is where that work happens
Hiring: Engineering
What employees say
+ Great pay, based on market, Hybrid, Very Flexible Work Time & mOde
− Middle Management not that mature but good
More reviews on the company profile.
Interview experience · Senior IOS/Andorid Developer
recently interviewed for a Senior Android Engineer role and found the experience disappointing from a candidate perspective. The interview began directly with coding questions without much introduction or discussion. I
Average difficulty · Noida · 19 reports
More interview insightsJob description
Overview
As the AI Platform Architect at ConveGenius, you'll design and scale the AI infrastructure that powers model training, fine-tuning, inference, agentic workflows, and orchestration across our learning applications.
Responsibilities
- Design and own end-to-end AI platform architecture: LLM serving, RAG pipelines, agentic orchestration, and model lifecycle management.
- Build scalable LLM inference infrastructure capable of serving millions of concurrent learners across diverse devices and connectivity conditions.
- Define and enforce AI safety, governance, and evaluation standards across all AI systems deployed in production.
- Drive RAG and agentic AI architectures: retrieval design, tool use, multi-agent frameworks, and orchestration patterns.
- Lead fine-tuning pipeline design: LoRA, QLoRA, RLHF, DPO from data preparation to production serving.Architect MLOps practices: CI/CD for models, experiment tracking, deployment versioning, and rollback mechanisms.
- Manage GPU cluster infrastructure: compute allocation, distributed training setup, and cost engineering.
- Drive AI unit-economics by setting up token-tracking, model drift metrics, and distributed tracing via OpenTelemetry, LangSmith, or Databricks.
- Collaborate with product, data, and engineering teams to translate AI platform capabilities into learner- facing features.Mentor and grow a cross-functional team of ML engineers, platform engineers, and AI researchers.
- Design and operate multi-tenant AI platform infrastructure ensuring isolation, fairness, and cost attribution across teams.Incorporate Indic language NLP requirements into platform design: multilingual embedding support, code- switching handling, and Indic model serving.
Qualifications
- experience in designing and scaling AI/LLM platforms.Deep
- understanding of Generative AI, LLMs, and AI system architecture.Hands-on
- experience with model training, fine-tuning, and deployment (PyTorch, LoRA, RLHF, DeepSpeed, Megatron-LM).
- Experience with inference frameworks such as vLLM, Triton, or TGI.Strong knowledge of RAG, Graph-RAG, vector databases, and agent orchestration.
- Understanding of distributed systems, cloud infrastructure, scalability, and security.Experience building production-grade, multi-tenant AI applications.Exposure to Indian-language NLP is preferred.Deep
- understanding of how LLMs and foundation models are trained (not just fine-tuned): model training pipelines, distributed training, dataset construction; hands-on
- experience with AI safety and security model design; proficiency in AI benchmarking methodologies and multi-agent orchestration frameworks.Working hands-on
- experience with AWS (Bedrock, SageMaker), Azure AI, or GCP; Docker, Kubernetes (EKS/GKE), etc is a plus. .
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Job application FAQ
Last updated 19 September 2026
- How do I apply for AI Platform Engineer at Convegenius Edu?
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- Is AI Platform Engineer remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this AI Platform Engineer role at Convegenius Edu?
- This is a mid-level AI Platform Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.