Distributed Cloud | GenAI Engineer

We are seeking a highly specialized and innovative Generative AI (GenAI) Engineer to lead the development and production deployment of our next generation of AI-powered applications. This role is focused on leveraging Large Language Models (LLMs) and other generative models to solve complex business problems driving innovation across the organization.

Key Responsibilities

• Design develop and implement GenAI applications and prototypes focusing on practical use cases using LLMs (e.g. GPT Llama Gemini) and supporting frameworks.

• Implement advanced techniques such as Prompt Engineering and Retrieval-Augmented Generation (RAG) pipelines to ground models with proprietary data and enhance accuracy.

• Perform model fine-tuning and adaptation (e.g. LoRA) on pre-trained models to optimize performance for specific domain tasks.

• Build scalable MLOps pipelines for the deployment monitoring and continuous improvement of GenAI models in production environments.

• Collaborate with Data Scientists Product Managers and Software Engineers to integrate GenAI capabilities seamlessly into core products.

• Ensure the ethical secure and responsible deployment of generative models managing risks related to bias and data privacy.

Qualifications :

• 3 years of experience in Machine Learning Engineering AI Development or a highly related software engineering role.

• Mandatory hands-on experience with Large Language Models (LLMs) and key GenAI concepts (e.g. Transformers architecture).

• Strong proficiency in Python and practical experience with GenAI frameworks such as LangChain LlamaIndex or similar.

• Proven ability to design and implement RAG (Retrieval-Augmented Generation) architectures for production use cases.

Preferred Skills:

• Experience with vector databases (e.g. Pinecone Chroma Milvus) used in RAG implementations.

• Knowledge of model efficiency and serving techniques (e.g. quantization model distillation).

• Contributions to open-source ML/GenAI projects.

•  

• Solid experience with model deployment MLOps practices and containerization (Docker Kubernetes).

• Experience working with Cloud platforms (AWS GCP or Azure) and their respective AI/ML services (e.g. Vertex AI SageMaker) is highly valued.

• Excellent problem-solving skills and a passion for staying ahead of the rapidly evolving GenAI landscape.

Additional Information :

The Devoteam Group works for equal opportunities promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.

Remote Work :

Yes

Employment Type :

Full-time