Job Description
Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit
Job DescriptionTHIS IS A CONTRACT TO POSSIBLE HIRE OPPORTUNITY!
We 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 Next.js
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
Proven experience with React or Next.js in production environments
Strong understanding of ETL processes and tools
Experience with N8n, Node.js-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 Node.js, Python, or similar
Exposure to cloud platforms (AWS, GCP, Azure)
Understanding of vector databases or knowledge graphs
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