AI ENGINEER - (Remote)

Umanova SA

15h • Remote

About The Position

Want to build real-world generative AI applications that solve business problems within the Ocean Transportation industry? We're seeking a hands-on AI Engineer with a background in Software, Data, or Machine Learning Engineering. Job Purpose and Impact: You will design, build, and deploy generative AI-driven solutions focused on real-world applications (i.e., no research-only roles). You’ll work closely with engineering teams to implement practical AI capabilities using LLMs and RAG setups.

Requirements

• 1–3 years (or more) of applied experience in Software, Data, or ML Engineering (e.g., backend, data pipelines, model implementation).
• Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Familiarity with AWS, GCP, or Azure integration.
• Interest in LLMs, prompt engineering, RAG, and applied AI, demonstrated through project work or prior deployments.
• Ability to take a project from prototype to delivery, optimizing for performance and business value.
• Clear communication, cross-functional collaboration, agile mindset.
• Bachelor’s or Master’s in Computer Science, Engineering, Data Science.

Nice To Haves

• Experience with LLM fine-tuning, prompt engineering, or LangChain/Agent frameworks.
• Familiarity with MLOps tools (e.g., MLflow, Docker, CI/CD pipelines).
• Industry-specific experience (e.g. maritime, logistics, finance) is a bonus, but we prioritize applied engineering experience over domain knowledge.

Responsibilities

• Implement retrieval-augmented generation techniques to customize LLMs for practical business use.
• Use AWS Bedrock, OpenAI or similar APIs to embed generative AI into existing systems.
• Build AI-powered tools to enhance operational efficiency, decision-support systems, or customer workflows in industry settings.
• Work with data engineering to preprocess and manage data for model inputs, ensuring security and compliance.
• Monitor and refine LLM deployments in scalable, reliable environments.
• Collaborate with software engineers, product managers, and stakeholders to deliver AI solutions that meet real needs.
• Create clear documentation and explain technical concepts to both technical and non-technical audiences in a hands-on context.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level