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You will be updated with latest job alerts via emailWe are seeking a talented and versatile Full Stack AI Engineer to join our team. The ideal candidate will have a strong foundation in both front-end and back-end development AI and data science capabilities and experience in orchestrating agents and workflows using tools like N8n. You will play a key role in designing and building intelligent scalable solutions that bridge the gap between data engineering user experience and artificial intelligence.
Key Responsibilities:
Design and implement full-stack applications using React or
Develop and maintain ETL pipelines to support data ingestion and transformation
Leverage N8n or similar tools for agent orchestration and workflow automation
Build and integrate AI-driven features (LLMs embeddings generative AI etc.) into applications
Collaborate with data scientists and engineers to design and deploy machine learning models
Write clean testable and scalable code across the stack
Work closely with stakeholders to define product requirements and deliver user-centric solutions
Qualifications :
Proven experience with React or in production environments
Strong understanding of ETL processes and tools
Experience with N8n -based automation/orchestration tools or equivalent
Familiarity with modern AI/ML technologies and libraries (e.g. Hugging Face OpenAI TensorFlow LangChain)
Understanding of basic data science principles (e.g. feature engineering model evaluation)
Strong problem-solving skills and ability to work in a collaborative team environment
Nice to Have:
Experience deploying LLMs or AI agents in production environments
Backend development experience with Python or similar
Exposure to cloud platforms (AWS GCP Azure)
Understanding of vector databases or knowledge graphs
Why Join Us:
Work on cutting-edge AI products with real-world impact
Collaborate with a team of smart motivated professionals
Flexible remote work and growth opportunities
Competitive compensation and benefits
Remote Work :
No
Employment Type :
Full-time
Full-time