Orbis, Inc.

AI Lead Engineer

Charleston, SC, USPosted 2 months ago

Job Description

AI Lead Engineer

This is an On-site position in Charleston, SC.

Position Overview

We are seeking an AI Lead Engineer who combines strong hands-on technical ability with emerging leadership and product instincts. This role is ideal for someone who has worked in a startup or fast-paced environment, understands how AI systems move from prototype to real-world deployment, and is ready to grow into a team leadership position.

You will initially operate as a primary contributor, designing models, building training pipelines, and delivering AI-driven features, while helping shape the technical direction of our AI efforts. As products mature, you will take on increasing responsibility for mentoring junior engineers and building a small, high-performing team.

Key Responsibilities

Hands-On AI Development

  • Design, build, and train machine learning and deep learning models (CNNs, transformers, RL, etc.)
  • Develop scalable training pipelines and data processing workflows
  • Work across the stack: data ingestion, model development, evaluation, and deployment
  • Build and maintain AI systems (backend and, where applicable, user-facing interfaces)

Applied Product Development

  • Translate AI capabilities into deployable features aligned with business needs
  • Balance model performance with real-world constraints (latency, cost, reliability)
  • Collaborate with stakeholders to prioritize features and iterate quickly
  • Contribute to system architecture decisions as products evolve

Emerging Technical Leadership

  • Provide guidance and informal mentorship to junior engineers
  • Help establish coding standards, experimentation practices, and development workflows
  • Participate in hiring as the team grows
  • Gradually take ownership of technical direction for AI initiatives

R&D and Innovation

  • Explore and prototype new approaches, including novel neural network architectures
  • Apply advanced statistical inference and predictive modeling t...

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