Distributed Cloud | AIML Engineer
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Job Location:
Monthly Salary:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
Remote Work :
No
Employment Type :
Full-time
Key Skills
About Company
Devoteam is a AI-driven tech consulting firm specialised in cloud platforms, cyber, data, and sustainability. Tech native for almost 30 years, Devoteam guides businesses through sustainable digital transformation to deliver value. With over 11,000 tech architects in more than 25 co ... View more
