Applied AI Engineer

What you'll do

• Engage with customers to understand workflows and requirements, then architect, build, and deploy tailored AI solutions.
• Lead end-to-end project delivery, including AI/ML pipeline integration, testing, troubleshooting, and optimization.
• Advise customers on adoption and collaborate with internal teams on product feedback, documentation, and delivery practices.

What they ask for

• 5–10+ years in engineering roles such as Forward Deployed Engineer, ML Engineer, Software Engineer, Solutions Engineer, or Technical Consultant.
• Proficiency in Python, JavaScript/TypeScript, Go, or similar production-oriented languages; hands-on experience training, fine-tuning, evaluating, or deploying ML models.
• Direct experience applying Generative AI, including LLMs or multimodal models, to real-world problems.
• Experience with computer vision, ML frameworks, cloud infrastructure, and containerization; ability and willingness to travel frequently.

Nice to have

• Consulting, professional services, or customer-embedded technical experience.
• Experience with vector databases, RAG, APIs or distributed systems, MLOps, or CV models such as YOLO, SAM, CLIP, or DETR.

Tools

Python, JavaScript/TypeScript, Go, PyTorch, TensorFlow, OpenCV, AWS, GCP

AI focus

Build and deploy customer-specific solutions using Generative AI, LLMs, multimodal models, machine learning, and computer vision; integrate and optimize AI/ML pipelines, including prompt engineering, model selection, and evaluation.