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 / Infra

On-prem and VPC deployments
Distributed systems
Microservices architecture
DevOps and MLOps pipelines

Computer Vision

Real-time detection systems
Safety and quality monitoring
Multimodal AI integration

Product & AI Architects

Enterprise workflow mapping
AI governance frameworks
Pilot-to-production strategy

Applied Innovation

Model compression
Efficient inference systems
Domain-specific AI training

What You’ll Work On

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

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.

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.

Join Us

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

Learn More

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