AI Engineer
2 days ago
Role & responsibilities
- Rapid Prototyping: Create N8N workflows to validate ideas and test concepts quickly
- AI Agent Development: Build AI agents and orchestrate interactions between multiple agents
- Integration Work: Enable AI workflows within existing applications and systems
- Cloud Infrastructure: Deploy and manage AI applications on cloud platforms
- LLM Integration: Work with various Large Language Models and integrate them into production system
Required Experience
- 3+ years of overall software engineering experience
- 2+ years working with LLMs and AI technologies in a hands-on capacity
Strong foundation in software development and system architecture
Experience with workflow automation tools (N8N or similar)
- Proficiency in Python and/or JavaScript/TypeScript
- Familiarity with multiple LLM providers (OpenAI, Anthropic, open-source models, etc.)
- Cloud platform experience (AWS, GCP, or Azure)
- Understanding of API design and integration
- Knowledge of prompt engineering and AI agent frameworks
Practical Requirements
- Ability to work independently and manage projects end-to-end
- Strong problem-solving skills and experimental mindset
Nice to Have
- Experience with LangChain, LlamaIndex, or similar AI frameworks
- Background in MLOps or AI model deployment
- Knowledge of vector databases and embedding systems
- Experience with containerization (Docker, Kubernetes)
- Understanding of AI safety and responsible AI practices
- Previous work in a startup or fast-paced environment
What Makes This Role Exciting
- Work at the intersection of AI innovation and practical application
- Freedom to experiment with new tools and approaches
- Direct impact on product development and user experience
- Collaborate with a team that values quick iteration and learning
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