Design and further development of our AI/ML layer within the cloud platform
Integration of LLMs and machine learning services into our business applications
Development of APIs and microservices for AI functionality
Building and operating MLOps pipelines for training, deployment, and monitoring of models
Implementation of RAG architectures, embeddings, and vector search
Integration of external AI services and models
Ensuring scalability, performance, and security of AI services
Collaboration with software, platform, and data teams
Evaluating new AI technologies, frameworks, and tools

Requirements

Degree in Computer Science, Software Engineering, Data Science, or a comparable qualification
Several years of experience in software development or platform development
Strong proficiency in Python
Experience with APIs, microservices, and cloud architectures
Experience with machine learning or large language models
Experience with container technologies (Docker) and Kubernetes
Knowledge of CI/CD and Infrastructure as Code
Analytical working style and interest in modern AI technologies
Nice to have: Experience with LLM frameworks, vector databases, cloud platforms, MLOps tools, and AI-based automation of business processes

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAPIsmicroservicescloud architecturesmachine learninglarge language modelsDockerKubernetesCI/CDInfrastructure as Code

Soft Skills

analytical working stylecollaboration

Certifications

Degree in Computer ScienceDegree in Software EngineeringDegree in Data Science