AI Engineer
Må ha:PythonDockerCloudBackendDataCI/CDAI
You will build practical AI solutions for the business. That means developing GenAI and LLM-powered applications, connecting models through APIs, building the backend services around them, and keeping everything tested, deployed and running well.
Responsibilities
- Design, develop and maintain AI-powered applications using Generative AI, LLMs, Machine Learning and other AI technologies
- Integrate AI models and services through APIs and SDKs, including prompt engineering and inference workflows
- Build backend services and REST APIs that connect AI features with existing systems
- Run unit, integration and performance tests, fix bugs and improve application performance
- Support deployment, monitoring, troubleshooting and ongoing maintenance, and keep documentation up to date
- Work with developers, IT teams and business stakeholders to deliver and improve AI applications
Requirements
- Minimum 4 years of experience in AI development, software development, machine learning engineering or a related role
- Strong Python skills and backend development experience
- Hands-on experience building and deploying Generative AI and LLM-powered applications
- Experience integrating AI models using APIs, SDKs and third-party AI services
- Familiarity with prompt engineering, RAG, embeddings and vector databases
- Experience with FastAPI, Flask or Django
- Familiarity with databases, cloud platforms, Docker and application deployment
- Understanding of version control, testing and CI/CD pipelines
Nice to Have
- Experience with TensorFlow, PyTorch or Hugging Face
Skills: Pattern Recognition, Machine Learning, Natural Language Processing (NLP), Neural Network, Data Engineering, Computer Vision, Artificial Intelligence, Data Mining, Redis, Deep Learning