About the Role and Mission
You will build intelligent solutions with Generative AI that transform how people interact with technology. Your objective will be to develop advanced prompt engineering systems and implement GenAI models that deliver innovative and precise experiences. More than just implementing, we want you to participate in AI architecture decisions and help evolve our ability to create truly intelligent products.
Responsibilities
- Develop Python applications integrated with GenAI models (OpenAI, Anthropic, Gemini)
- Create and optimize prompts for different use cases and domains
- Work with LangChain/LlamaIndex and LangGraph frameworks for orchestration and creation of LLM agents
- Integrate language model APIs into distributed systems
- Participate in AI architecture decisions and best practices
Requirements
Mandatory:
- Complete graduation in a technology area
- Availability to work in the model (implied onsite from location)
- Solid experience with Python and software development
- Practical knowledge in GenAI and integration with LLM APIs
- Experience with LangChain or LlamaIndex and LangGraph
Desirable:
- Experience with Data Science (Pandas, NumPy, Scikit-learn)
- Ability to manipulate and analyze complex data
- Knowledge of vector databases (Pinecone, Chroma)
- Deep learning frameworks (TensorFlow, PyTorch)
- Model fine-tuning and RAG (Retrieval Augmented Generation) techniques
- Docker and containerization
- DevOps
- Cloud computing (AWS/GCP/Azure)