VisionByte
We're Hiring

We Are VisionByte

A small, sharp team building AI products that actually matter. We move fast, think deeply, and give you the space to do your best work — every single day.

See Open Positions

Our Culture

How We Work

No burnout, no BS. Just a team that does exceptional work inside healthy boundaries.

No Overtime

We believe great work happens within healthy hours. When you clock out, you truly clock out — no pings, no pressure.

Work-Life Harmony

We design our workflow around your life, not the other way around. Family, health, and personal time are non-negotiable priorities.

Remote First

Work from anywhere on the planet. Our async-first culture means your best ideas aren't tied to a desk or a time zone.

Constant Learning

Quarterly learning budgets, internal tech talks, and a culture that celebrates curiosity. Stay sharp while staying sane.

From the Team

People Who Work Here

Umar M.

"Working at VisionByte changed how I think about software. The team genuinely cares about quality, but more importantly they care about each other. I've never felt rushed to ship broken code — we do it right, every time."

Full Stack Engineer (React.js/ Node.js/ Next.js)

Umar M.

Join Us

Open Positions

Two spots on the team. Both fully remote. Both high-impact.

Requirements

  • 3+ years building production apps with React / Next.js
  • Strong TypeScript fundamentals and type-safe API design
  • Node.js / Express or equivalent backend experience
  • Familiarity with REST & GraphQL APIs
  • PostgreSQL or MongoDB database design
  • Experience with CI/CD pipelines (GitHub Actions preferred)
  • Able to work async across time zones

Nice to Have

  • Tailwind CSS proficiency
  • Exposure to LLM integrations or OpenAI API
  • Previous startup or agency experience

Requirements

  • Solid Python skills and ML engineering fundamentals
  • Hands-on experience with PyTorch or TensorFlow
  • Experience deploying models to production (not just notebooks)
  • Familiarity with NLP, LLMs, or computer vision
  • Data pipeline experience (ETL, feature engineering)
  • Cloud ML services: AWS SageMaker, GCP Vertex, or Azure ML
  • Strong communication — you explain models to non-ML stakeholders

Nice to Have

  • Experience fine-tuning open-source LLMs
  • Vector database knowledge (Pinecone, Weaviate, pgvector)
  • MLOps tooling (MLflow, Weights & Biases)