Remote AI Engineer: Ship Real-World ML Features

DNA325; Lisboa; Presencial; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

DNA325 is seeking an Applied AI Engineer to turn model capability into real product behavior. You will own problems end-to-end—from shaping model behavior to building the systems around it and ensuring production reliability.

This role sits at the intersection of machine learning, systems, and product, making AI actually work for users. You will ship AI features end-to-end, design prompts, tools, memory and agent workflows, and collaborate with product and engineering to convert ambiguous

Qualificações

• Strong foundation in machine learning and modern neural network architectures.
• Hands-on experience training, fine-tuning, or deploying ML models.
• Ability to write clean, production-quality code.
• Comfort working across abstraction layers - model, infra, product.
• Strong problem-solving skills in ambiguous, fast-moving environments.
• A bias toward shipping, iteration, and continuous improvement.

Responsabilidades

• Build and ship AI features end-to-end (model -> system -> user experience)
• Design and iterate on prompts, tools, memory, and agent workflows
• Turn raw model outputs into structured, reliable, predictable behavior
• Debug issues across the full stack - model, orchestration, infra, UX
• Optimize for latency, cost, and production reliability
• Develop lightweight evaluation frameworks to measure real-world performance
• Work closely with product and engineering to turn ambiguous problems into working systems

Conhecimentos

Machine learning

ML model training

Production-grade code

End-to-end ML systems

Problem solving

System thinking

Ferramentas

Python

PyTorch

JAX

LLMs

vLLM

Vector DB

Descrição da oferta de emprego

DNA325 is seeking an Applied AI Engineer to turn model capability into real product behavior. You will own problems end-to-end—from shaping model behavior to building the systems around it and ensuring production reliability.

This role sits at the intersection of machine learning, systems, and product, making AI actually work for users. You will ship AI features end-to-end, design prompts, tools, memory and agent workflows, and collaborate with product and engineering to convert ambiguous