Applied AI Engineer

About the Position

We are looking for a Applied AI Engineer to join grama and design, develop, and deploy production-ready applications using both traditional machine learning techniques and modern Generative AI models.

Responsibilities

• Design, develop, and deploy production-ready applications using both traditional machine learning techniques and modern Generative AI models
• Prepare, clean, and transform large datasets to support machine learning and AI workflows
• Develop, train, evaluate, and optimize machine learning models through experimentation and hyperparameter tuning
• Design and implement retrieval-augmented generation (RAG) pipelines and AI-driven automation workflows
• Analyze model performance using appropriate metrics and validation strategies, and continuously improve models based on results
• Implement backend services and APIs to integrate AI capabilities into scalable systems
• Collaborate with cross-functional teams to translate business requirements into AI-enabled solutions
• Contribute to software quality through automated testing, code reviews, and engineering best practices

Requirements

• Professional experience with Python and taking AI to production
• Experience with the machine learning lifecycle, including data preparation, feature engineering, model training, evaluation, and optimization
• Hands-on experience with common Python ML and data libraries such as pandas, NumPy, scikit-learn, or similar
• Familiarity with Generative AI concepts such as LLMs, embeddings, or retrieval-augmented generation (RAG)
• Experience working with structured and unstructured data processing pipelines
• Experience designing and building RESTful APIs and backend services
• Experience with CI/CD pipelines and modern development workflows
• Familiarity with Agile methodologies
• Familiarity with AI-assisted development tools and modern IDEs
• Strong written and verbal communication skills in English

Nice to Have

• Hands-on experience deploying AI systems on AWS, particularly with services such as Amazon Bedrock Agent Core, AWS Lambda, Amazon SageMaker, Amazon S3, and Amazon API Gateway
• Experience designing secure, scalable architectures within AWS (IAM, VPC, CloudWatch)
• Familiarity with software testing practices and frameworks (e.g., pytest or similar)
• Knowledge of MLOps practices, experiment tracking, and model monitoring
• Experience with Docker, Kubernetes, or similar containerization/orchestration technologies
• Exposure to fine-tuning approaches or parameter-efficient training methods
• Backend engineering experience with Java or similar strongly typed languages

We Offer

• Flexible working environment
• Health insurance
• Continuous learning
• 3 extra holidays per year
• Innovative environment
• Gifts & perks

About the Company

We look after our team’s quality of life. Our focus is to support you by balancing your needs and our customers' demands. We have a health insurance company plan to get you covered. We have a learning budget available for you and we stimulate sharing knowledge between our team. We offer 25 paid holidays to all members of our team. We are young and innovative with a team focused on delivering excellence. We usually have some surprises for the entire team.