AI Engineer

AI Enginer @ UD SEIC Europe | Jobright.ai

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UD SEIC Europe · 2 weeks ago

AI Enginer

United States

Full-time

Remote

Mid, Senior Level

3+ years exp

UD SEIC Europe is hiring an AI Engineer to build, deploy, and optimize AI solutions for its products and services. The role focuses on developing scalable machine learning systems and generative AI applications, integrating AI into cloud and web platforms, and applying MLOps practices in collaboration with cross-functional teams.

AutomotiveElectric VehicleProduct Management

No H1B

Hiring Manager

Aaryan Giri

Responsibilities

Design, develop, and deploy machine learning and generative AI models in production environments

Build AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents

Develop scalable data pipelines for model training, inference, and evaluation

Fine-tune, optimize, and monitor AI models to improve accuracy, efficiency, and reliability

Integrate AI services into web applications, APIs, and cloud-based platforms

Collaborate with product managers, software engineers, and data scientists to deliver AI-driven features

Implement MLOps best practices for model versioning, deployment, monitoring, and lifecycle management

Ensure AI systems meet security, privacy, and ethical AI standards

Research and evaluate emerging AI technologies and recommend innovative solutions

Document AI architectures, workflows, and technical implementations

Qualification

PythonPyTorchTensorFlowJAXLarge Language Models (LLMs)LangChainLlamaIndexCrewAIDeep LearningNatural Language Processing (NLP)Prompt EngineeringVector DatabasesRetrieval-Augmented Generation (RAG)AWSMicrosoft AzureGoogle Cloud Platform (GCP)DockerKubernetesCI/CDMLOpsSQLNoSQL DatabasesData Engineering

Required

3–7 years of experience in AI/ML engineering, machine learning, or software engineering

Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or JAX

Experience building applications with LLMs and frameworks such as LangChain, LlamaIndex, CrewAI, or similar

Solid understanding of deep learning, NLP, prompt engineering, vector databases, and RAG architectures

Experience deploying AI solutions on AWS, Azure, or Google Cloud Platform (GCP)

Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools

Experience with SQL, NoSQL databases, and data engineering concepts

Strong analytical, problem-solving, and communication skills

Ability to work independently and collaborate effectively in a remote environment

Fluent in English

Authorized to work full-time in the United States

Benefits

Fully remote work within the United States

Opportunity to build innovative AI products using the latest technologies

Collaborative and forward-thinking engineering culture

Career growth, mentorship, and continuous learning opportunities

Equity opportunities (where applicable)

Comprehensive benefits package

Company

UD SEIC Europe

UD SEIC Europe is a e-mobility based in Spain and Taiwan.

Founded in 2018

Madrid

11-50 employees

https://urbandrivestyle.com/

Funding

Current Stage

Early Stage

Company data provided by crunchbase