Key skills
AWSPythonTypeScriptAIArtificial IntelligenceRAGAgenticVersion Control
About this role
Role Overview
- Work on an innovative project to build an Artificial Intelligence agents platform.
- Develop real-world solutions with LLMs, intelligent agents, and modern architectures in a highly technical and challenging environment.
Requirements
- Hands-on development with LLMs.
- Implementation of RAG (Retrieval-Augmented Generation).
- Experience with agent frameworks: creating single-agent flows and simple multi-agent flows using agentic frameworks.
- Prompt engineering (practical): writing reliable prompts, handling edge cases, and mitigating hallucinations.
- Proficiency in Python and TypeScript: production-quality code, asynchronous flows, and API integrations.
- AWS fundamentals for AI workloads: deploying AI services, using managed cloud services, and basic cost awareness.
- Memory and state management: conversational state control, session memory, and basic long-term storage patterns.
- Testing and evaluation fundamentals: prompt testing, functional tests for AI flows, and simple evaluation metrics.
- Observability: logging prompts and responses, failure tracing, and basic cost and latency monitoring.
- Strong software engineering discipline: clean code, version control, code reviews, and sustainable, maintainable architecture.
- Advanced English.
Tech Stack
- AWS
- Python
- TypeScript
Benefits
- Learning incentive programs (Udemy).
- Corporate English classes at affordable rates.