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Job Description: Full Stack AI Software Engineer
@ Blend
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Website
United States
Remote
Multiple Commitments Available
Responsibilities:
Designing features, Building APIs, Implementing AI components
Requirements Summary:
Full Stack AI Engineer with React/Next.js, ETL, AI/ML knowledge, and experience with automation/orchestration tools (N8n).
Technical Tools Mentioned:
React, Next.js, ETL, N8n, Node.js, Python, OpenAI, Hugging Face, TensorFlow, LangChain, AWS, GCP, Azure, Vector databases, Knowledge graphs
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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 www.blend360.com.

Job Description:
THIS 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 

Qualifications:
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