Build the Infrastructure of Enterprise AI
AI is everywhere.
But secure, scalable, production-grade AI is rare.
At AIVeda, we are building Private AI infrastructure for enterprises that cannot compromise on security, compliance, or control.
If you want to work on systems that operate inside real enterprises — not experimental demos — you’ll feel at home here.
Why Work at AIVeda?
We don’t build AI features.
We build AI foundations.
Our work includes:
- Private LLM deployment inside enterprise environments
- Small Language Model optimization for production workflows
- Secure RAG architectures
- Multisensory computer vision systems
- Agentic AI for structured enterprise automation
- AI governance and monitoring frameworks
You won’t just ship code.
You will shape how enterprises adopt AI responsibly.
What We Value
Ownership Over Titles
We care about accountability, not hierarchy.
Engineering Discipline
Production AI requires structured thinking, evaluation, observability, and performance rigor.
Security-First Mindset
If it cannot pass an enterprise security review, it does not ship.
Long-Term Thinking
We build systems that scale across departments and years — not quick experiments.
Our Core Capabilities
- Private LLM development and fine-tuning
- Small Language Model design and optimization
- Retrieval-Augmented Generation (RAG) systems
- AI governance, evaluation, and monitoring frameworks
- Computer vision and video intelligence systems
- Drone-enabled AI solutions for real-world data capture
- Secure AI automation for regulated industries
Who We’re Looking For
We hire builders who understand both technology and enterprise reality.
AI / ML Engineers
- LLM fine-tuning and evaluation
- Small Language Model optimization
- RAG architecture design
- Model performance benchmarking
Backend / Infrastructure Engineers
- On-prem and VPC deployments
- Distributed systems
- Microservices architecture
- DevOps and MLOps pipelines
Computer Vision Engineers
- Real-time detection systems
- Safety and quality monitoring
- Multimodal AI integration
Product & AI Architects
- Enterprise workflow mapping
- AI governance frameworks
- Pilot-to-production strategy
AI Research & Applied Innovation
- Model compression
- Efficient inference systems
- Domain-specific AI training
What You’ll Work On
- Private LLM systems deployed within enterprise boundaries
- Secure AI copilots integrated with ERP and CRM systems
- AI-driven automation platforms for regulated industries
- Multisensory vision systems for industrial operations
- Scalable AI architecture across cloud and hybrid infrastructure
Growth at AIVeda
We believe growth comes from:
- Solving complex enterprise problems
- Shipping production-grade systems
- Learning across AI, infrastructure, and business domains
- Working directly with leadership and clients
You will gain exposure to AI architecture decisions — not just isolated development tasks.
Culture
We are:
- Direct
- Curious
- Technically rigorous
- Outcome-driven
We respect experimentation, but we prioritize responsibility.
AI adoption is not about speed alone.
It is about sustainable impact.
Open Positions
[You can list current roles here]
- Senior AI Engineer
- ML Engineer – Small Language Models
- Computer Vision Engineer
- DevOps / MLOps Engineer
- AI Solutions Architect
- Enterprise AI Consultant
Not Seeing a Role?
If you believe you can contribute to building secure Private AI systems, we would still like to hear from you.
Send your profile to:
careers@aiveda.io
Include:
- Your technical focus
- Systems you’ve built
- Problems you enjoy solving
Join Us
If you want to build AI that enterprises trust, If you want to work on infrastructure — not just interfaces, If you believe intelligence must be secure and sovereign — AIVeda is where you belong.
Our Team
Our team comprises experts in AI, data, and digital solutions. With a focus on innovation, we provide advanced services in artificial intelligence, data analytics, and digital technology. From developing AI models to delivering data-driven insights, we strive to deliver exceptional solutions that drive success in the digital era.
Laher Ajmani
Founder
Varun Ajmani
Co-Founder
Sumit Madan
Partner
Franklin Bailey
Engineering Head
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