Senior AI Engineer
CI&T
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇵🇹 Portugal
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorflow
About the role
- Design, develop, and deploy AI-driven applications and services, with a strong focus on Machine Learning and Generative AI use cases.
- Build and integrate LLM-based solutions using frameworks such as LangChain, ensuring reliability, scalability, and performance.
- Collaborate with product managers, designers, and data teams to translate business requirements into technical AI solutions.
- Implement data pipelines, model training workflows, and inference services across different environments.
- Optimize models and systems for performance, cost, and scalability in production.
- Ensure best practices related to model evaluation, monitoring, versioning, and responsible AI usage.
- Contribute to technical discussions, architectural decisions, and proof-of-concepts for AI initiatives.
- Stay up to date with emerging AI technologies, tools, and industry trends.
Requirements
- Strong experience as an AI Engineer, Machine Learning Engineer, or similar role.
- Solid knowledge of Machine Learning concepts, algorithms, and model lifecycle.
- Hands-on experience with Generative AI (GenAI), including LLMs and prompt engineering.
- Experience using LangChain to build and orchestrate LLM-based applications.
- Proficiency in Python and common AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience deploying AI solutions in cloud environments (AWS, Azure, or GCP).
- Understanding of software engineering best practices, including version control, testing, and CI/CD.
- Advanced English (spoken and written), with the ability to communicate effectively with technical and non-technical stakeholders.
- Nice to Have
- Experience with MLOps practices, including model monitoring, retraining, and automation.
- Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) patterns.
- Knowledge of data engineering concepts and tools.
- Experience working in agile environments and cross-functional teams.
- Exposure to AI ethics, privacy, and security best practices.
- Previous experience in consultancy or client-facing projects.
Benefits
- Competitive Salary
- Generous paid vacation days
- Generous sick time
- 100% paid health & dental benefits starting day one
- Annual profit-sharing distribution
- Paid parental leave
- Dedicated career advisor
- And so much more…
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine LearningGenerative AILangChainPythonTensorFlowPyTorchScikit-learnMLOpsdata pipelinesmodel training workflows
Soft skills
communicationcollaborationtechnical discussionsarchitectural decisionsproof-of-conceptsstakeholder engagementproblem-solvingadaptabilitycritical thinkingresponsible AI usage