AI Engineer (RAG systems)
Romania, Hybrid, Hybrid
Your Impact:
- Understand business problems, limitations of current technologies, and opportunities for AI applicationsĀ
- Identify suitable AI or cognitive technologies and design solution approachesĀ
- Develop machine learning models or prototypes and validate problem-solution fitĀ
- Set up and maintain AI development (test, production) infrastructureĀ
- Guide product managers and stakeholders on AI capabilities and constraints during product planningĀ
- Collaborate with engineers and data scientists to enable smooth AI integrationĀ
- Build and manage data ingestion and transformation pipelinesĀ
- Discover new training datasets and apply transfer learning where applicableĀ
- Build and deploy AI models, and communicate results effectively to stakeholdersĀ
- Develop APIs to operationalize AI model outputs for business useĀ
- Recommend AI enhancements to improve existing products.
Your Skills & Experience:
- 4-5 years programming experience working on AI/ML products & modelsĀ
- Solid programming language skills in PythonĀ
- Very strong algorithmic thinkingĀ
- Strong knowledge of machine learning related tools and frameworks for data management, visualization, implementation and performance evaluation, such as scikit-learn, numpy, pandas, etc.Ā
- Experience in building LLM/RAG systems (Langchain, LangGraph, LangSmith ā preferred, Agents, etc.)Ā
- Demonstrated know-how on extracting information from various data formats (OCR-based tools or systems)Ā
- Solid understanding of RAG systems and approaches, NLP, data science process, statistical modeling, machine learning, deep learningĀ Ā
- Strong hands-on experience with developing RESTful APIs, preferably using FastAPIĀ
- Cloud development (Docker, Kubernetes) and using Cloud specific AI technologies (Azure Machine Learning Services ā strong preference, with AI Foundry (AI ML Studio), Azure AI Document Intelligence, Azure Functions, Logic Apps, etc.)Ā
- Database experience (PostgreSQL preferred)Ā
- Experience with versioning tools (e.g. Git preferred)Ā
- Demonstrated ability to deliver working solutions on a given schedule.
Set Yourself Apart With:Ā
- Experience in Azure Cloud deployment, Azure AI Evaluation toolsĀ
- Experience building AI models in frameworks such as Keras, TensorFlow or TheanoĀ
- Working with Unix or unix-like operating systemsĀ
- Using quantitative methods in business setting background is a plus.
Benefits of Working Here:
Besides an exciting job in a tremendous team, here's what you can expect:
- A fast-paced tech environment
- Continuous growth & learning
- Open feedback culture
- Room for own initiative & ideas
- Transparency about results & strategy
- Recognition & reward for hard work
- Working with a flexible scheduleĀ
- Medical subscription
- Meal tickets
- Extra vacation days - starting with 25 vacation days
- Many others perksĀ
Tremend is the newest global software engineering hub for Publicis Sapient. For over 20 years, the company has been infusing its advanced technical expertise into complex and innovative solutions that meet today's digital transformation needs and pave the way for a better and smarter future. By joining forces with Publicis Sapient we're accelerating the impact, providing a good mix of talented engineers, technology, continuous improvement, innovation, and R&D. Here, you'll have the opportunity to unleash your potential, powering up advanced software solutions for some of the world's most iconic brands. Embrace your passion for technology, creativity, and continuous improvement, and join us in making a difference through engineering.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: APIs Azure Data management Deep Learning Docker Engineering FastAPI Generative AI Git Keras Kubernetes LangChain LLMs Machine Learning ML models NLP NumPy OCR Pandas Pipelines PostgreSQL Python R RAG R&D Scikit-learn Statistical modeling Statistics TensorFlow Theano
Perks/benefits: Career development Flex hours Flex vacation
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