AI Engineer
Deloitte Zobrazit všechny práce
- Brno, Jihomoravský
- Trvalý pracovní poměr
- Plný úvazek
- Bachelor's degree in Computer Science, Applied Mathematics, or related technical field
- 2+ years of experience as an AI Engineer or similar role
- Strong programming skills in Python
- Experience with generative AI technologies
- Practical experience with AI frameworks such as TensorFlow, PyTorch, or similar and experience with open-source models deployment and fine-tuning will be a bonus
- Experience with SQL and NoSQL databases
- Familiarity with vector databases (Pinecone, Weaviate, etc.)
- Knowledge of containerization technologies (Docker)
- Experience with cloud platforms such as Microsoft Azure or AWS
- Preferred Qualifications
- Experience with OpenAI products and Anthropic Claude
- Background in building multi-agent AI-based solutions
- Experience with FastAPI or Django frameworks
- Knowledge of message queuing systems
- Relevant certifications (AWS, etc.)
- Background in data engineering or data analysis
- Programming Languages: Python (required), JavaScript/TypeScript (beneficial)
- AI Technologies: OpenAI, Anthropic Claude, LangChain
- Data Processing: Pandas, NumPy, Data Engineering, Data Analysis
- Web Frameworks: FastAPI, Django, REST APIs
- Cloud Platforms: Microsoft Azure, AWS
- Databases: SQL, NoSQL, Vector databases (Pinecone, etc.)
- DevOps: Docker, Git, CI/CD pipelines
- Strong analytical and problem-solving abilities
- Excellent communication skills in English
- Ability to work effectively in cross-functional teams
- Self-motivation and ability to work independently
- Adaptability to rapidly evolving technologies
- Passion for AI innovation and emerging technologies
- Design and implement collaborative AI agent environments using OpenAI, Anthropic, and other LLM platforms
- Develop and customize AI agents using existing frameworks and build custom agentic systems
- Create autonomous agent workflows and orchestration systems for complex task execution
- Develop scalable RESTful APIs for AI-powered applications
- Create and optimize natural language processing (NLP) pipelines and workflows
- Implement and fine-tune large language models
- Design and maintain vector databases for efficient retrieval of AI-relevant information
- Work with cross-functional teams to integrate AI capabilities into existing products and services
- Containerize and deploy AI services using Docker and cloud platforms
- Optimize AI model performance and ensure system reliability
- Mentor junior team members on AI technologies and best practices
- Stay current with latest advancements in AI and recommend new approaches
- Opportunity to work on cutting-edge AI technologies and solutions
- Professional development and learning opportunities
- Collaborative and innovative work environment
- Career advancement opportunities