Responsibilities
- Support the analysis of business problems and translate them into functional and technical requirements.
- Contribute to the design and development of scalable GenAI solutions.
- Assist in effort estimation and communicate the value of solutions to clients.
- Participate in building and optimizing Generative AI models (LLMs, GANs, Diffusion Models, etc.).
- Develop and integrate APIs for production environments.
- Collaborate with data scientists, engineers, and architects in agile teams.
- Apply LLMOps best practices, including monitoring and continuous integration.
- Research and explore emerging GenAI trends to bring innovation into projects.
Basic qualifications
- 1+ year in building GenAI solutions or prompt engineering.
- Experience with cloud applications (Azure preferred).
- Programming: Python (TensorFlow, PyTorch, Hugging Face).
- GenAI: practical knowledge of LLMs, GANs, VAEs, Diffusion Models.
- NLP/OCR/Multimodal: interest or experience in real-world applications.
- APIs: FastAPI, Flask, or Django.
- Cloud & Infra: Azure (preferred), AWS, or GCP.
- Agentic Frameworks: AutoGen, Semantic Kernel, LangGraph, Crew AI.
- Methodologies: collaborative, agile environments.
- Good english level
Benefits
- Challenging projects in a cutting-edge technology environment
- 26 days of vacation;
- Health insurance;
- $50 birthday bonus
- Training;
- Opportunity to develop your career.
Tags & focus areas
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