Distributed Cloud | AI/ML Engineer
This role focuses on translating AI research into scalable production systems by integrating LLMs and foundation models into enterprise-grade pipelines, requiring expertise in both software engineering and modern MLOps practices. The engineer will collaborate with stakeholders to deploy robust, monitored AI solutions while leveraging frameworks like LangChain and PyTorch.
Skills required
About this role
We are seeking a versatile and passionate AI to join our data science and engineering team. You will be instrumental in bridging the gap between data science research and production-ready applications, building scalable machine learning systems that drive business value. This role requires a strong balance of software engineering principles and ML expertise.
Key Responsibilities
Design, develop, and deploy end-to-end AI pipelines, focusing on integrating Large Language Models (LLMs) and Foundation Models into production environments.
Work closely with stakeholders to transition AI prototypes and experimental agents into scalable, production-grade systems, implementing modern LLM Ops practices.
Develop robust, efficient code using Python and frameworks such as LangChain, LlamaIndex, or AutoGPT, alongside traditional libraries like PyTorch or TensorFlow when needed.
Implement advanced monitoring for AI applications, focusing on output quality, hallucination detection, and performance tracking (e.g., using RAGas or Arize Phoenix).
Collaborate with Data Engineers to build efficient data pipelines for vector databases (Chroma, Pinecone, Weaviate) and optimize context retrieval for RAG.
Stay at the forefront of the rapidly evolving Generative AI landscape, exploring new techniques in prompt engineering, fine-tuning, and agentic workflows.
Qualifications
3+ years as an AI Engineer, ML Developer, or Software Engineer with a focus on AI integration.
Strong proficiency in Python (clean, production-ready code) and experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex).
Practical experience with Generative AI, Prompt Engineering, and fine-tuning Foundation Models (OpenAI, Hugging Face, Anthropic).
Knowledge of Vector DBs (e.g., Pinecone, Weaviate, Chroma) and proficiency in SQL for data handling.
Experience deploying AI applications on Cloud platforms (Azure AI, Vertex AI, or AWS Bedrock) and managing the AI lifecycle (LLMOps).
Familiarity with Docker and API development (FastAPI/Flask) to build scalable AI services.
Ability to translate business needs into AI solutions and communicate technical logic to non-tech teams.
Degree in Computer Science, Engineering, or a related quantitative field.
Professional level of English (written and spoken).
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.
