GFT Technologies is looking for a Generative AI Engineer to design, develop, and evolve our Generative AI-based solutions. You will be responsible for ensuring scalability, governance, technical quality, and alignment with key business objectives.
What You'll Do
- Design and implement solutions using Generative AI models, including LLMs, RAG, fine-tuning, and embeddings.
- Develop integrations with foundational model APIs and AI services.
- Structure data pipelines for ingestion, preparation, and information retrieval.
- Implement RAG (Retrieval-Augmented Generation) architectures with a focus on performance and security.
- Work with data, architecture, and product teams to define use cases and technical prioritization.
- Ensure best practices for prompt versioning, model evaluation, and response monitoring.
- Define standards for governance, security, and responsible use of AI.
- Conduct tests, benchmarks, and cost and performance optimizations.
What We're Looking For
- Degree in Computer Science, Engineering, or a related field.
- Practical experience with LLMs and orchestration frameworks such as LangChain or LlamaIndex.
- Knowledge of Python and AI/ML libraries.
- Experience with APIs, microservices, and cloud architecture.
- Familiarity with NLP concepts, embeddings, vectorization, and vector databases.
- Strong analytical skills and a focus on solving complex problems.
Nice to Have
- Knowledge in AI Gateway and Agent tools such as Agent Core, Gemini Enterprise, and CrewAI.
Technical Stack
- Python, LLMs, RAG
- LangChain, LlamaIndex, AI/ML libraries
- APIs, microservices, cloud architecture
- NLP, embeddings, vector databases
- Agent Core, Gemini Enterprise, CrewAI
Team & Environment
You will work closely with data, architecture, and product teams.
Work Mode
This role follows a hybrid work model.
