AI Engineer - Local Models, Computer Vision & RAG

Location: Remote, United States - Midwest-based candidates preferred
Employment type: Permanent, full-time
Salary: Targeting approximately $120,000, with some flexibility based on experience
Sponsorship: This position cannot provide current or future visa sponsorship

The opportunity

We are working with an innovative technology and entertainment business that develops advanced interactive experiences for commercial and government clients.

The company is looking for a hands-on AI Engineer to help build its internal AI capability. This is not simply an API integration role. You will train, fine-tune, deploy and optimise AI models, including running models locally on company-owned GPU infrastructure.

You will work closely with a highly experienced technical leader and take ownership of projects spanning local LLMs, computer vision, multimodal AI, RAG and secure offline deployment.

What you will be doing

• Building, fine-tuning and evaluating AI and machine-learning models

• Deploying and serving models locally using GPU infrastructure

• Developing RAG systems using proprietary datasets, embeddings and vector search

• Building computer-vision and multimodal solutions

• Working with object detection, tracking and real-time model inference

• Optimising models through quantisation, latency reduction and GPU-memory management

• Creating APIs and integrating AI capabilities into existing applications

• Developing evaluation frameworks, guardrails and hallucination controls

• Supporting deployments within offline, air-gapped or security-restricted environments

• Taking technical ownership from experimentation through to production

• Working directly with senior technical leadership to challenge ideas and shape the AI roadmap

Essential experience

• Strong commercial experience in AI, machine learning or deep learning

• Advanced Python development skills

• Hands-on experience training or fine-tuning models—not solely consuming hosted AI APIs

• Experience deploying local or self-hosted models

• Practical experience with GPU-based inference and optimisation

• Strong understanding of LLMs, transformers and modern model architectures

• Experience building production RAG pipelines

• Knowledge of embeddings, vector databases, retrieval and reranking

• Experience developing APIs and integrating models into production applications

• Ability to explain clearly what you personally designed, built and deployed

Highly desirable experience

• Computer vision, object detection or object tracking

• Vision-language models and multimodal AI

• LoRA, QLoRA or supervised fine-tuning

• vLLM, Hugging Face, PyTorch or similar technologies

• Model quantisation and inference optimisation

• Voice AI, speech-to-text or text-to-speech

• Unreal Engine, gaming, simulation or interactive technology

• Real-time applications or event-driven systems

• Air-gapped, on-premises or security-restricted deployments

• Defence, themed entertainment or immersive-experience projects

The person

The successful candidate will be an independent and curious engineer who enjoys solving difficult technical problems. You should be comfortable challenging existing thinking, experimenting with new approaches and taking responsibility for delivering working systems, not simply producing proofs of concept.

This position offers the opportunity to join at an early stage of the company’s AI journey and play a meaningful role in defining how its internal AI capability develops.

Applicants must already be permanently authorised to work in the United States. Visa sponsorship is not available.