Role focused on building real-world AI products using LLMs, AI agents and intelligent automation.
Responsibilities:
- Build real-world LLM-powered applications and products
- Design and develop AI agents and agentic workflows
- Create intelligent automation systems
- Design LLM workflows, tool-calling systems and multi-step agents
- Develop data pipelines for AI applications
- Build retrieval systems and RAG architectures
- Integrate models, APIs, databases and external tools
- Design prompt and context-management strategies
- Evaluate models, prompts and real-world outputs
- Improve reliability, accuracy, latency and cost efficiency
- Experiment with different models and architectures based on product requirements
Ideal experience may include:
- Python
- LLM APIs and frameworks
- RAG / vector databases
- AI agents and tool calling
- Prompt engineering and evaluation
- Data pipelines
- API integrations
- Automation systems
- Model benchmarking/evaluation
- Production AI application development
Remote / WFH, global hiring. Compensation: $40,000–$60,000 USD/year.Diferenciais
- Python
- LLM APIs and frameworks
- RAG / vector databases
- AI agents and tool calling
- Prompt engineering and evaluation
- Data pipelines
- API integrations
- Automation systems
- Model benchmarking/evaluation
- Production AI application development