Fullstack AI Engineer

Summary

Join Blend and grow your career in the thriving tech industry, leveraging data and technology to make better decisions. As a Fullstack AI Engineer, you will design, build, and orchestrate intelligent agents and scalable systems for next-gen AI applications. You will work with modern tools like OpenAI Agents, AutoGen, Okres, and n8n, creating agent workflows and robust microservices. This role requires strong skills in Python and TypeScript, experience with microservices and cloud platforms, and excellent communication abilities. The ideal candidate will have 5+ years of experience and a solid understanding of system design principles. Blend offers various benefits, including learning opportunities, mentorship, celebrations, and regional flexibility.

Requirements

• Proven experience as a Fullstack Developer with strong skills in Python and TypeScript
• Solid understanding of system design, S.O.L.I.D. principles, and best practices
• Comfortable working with microservices, APIs, and event-driven architectures
• Experience deploying to and working with cloud platforms (Azure preferred, AWS/GCP acceptable)
• Familiarity or interest in prompt engineering and AI agent design
• Strong communication and collaboration skills; able to work cross-functionally
• Adaptable, self-directed, and eager to learn new tools and frameworks
• Excellent written and verbal English for clear and effective communication with the team
• 5+ years of experience in similar roles

Responsibilities

• Design and implement agent workflows using both GUI tools and code
• Develop and maintain microservices that integrate seamlessly with AI agents
• Work across the stack with Python (backend), Next.js (frontend), and Node.js
• Collaborate in an event-driven architecture environment
• Use AI pair programmers (e.g., Roo agents) to accelerate development
• Create and manage tasks and tickets
• Communicate with stakeholders about progress, blockers, and milestones
• Coordinate testing (e.g., bug bash) before releasing features

Preferred Qualifications

Prior exposure to OpenAI APIs, LangChain, or similar AI orchestration frameworks are nice to have

Benefits

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake
• Access to AI learning paths to stay up to date with the latest technologies
• Study plans, courses, and additional certifications tailored to your role
• English lessons to support your professional communication
• Career development plans and mentorship programs to help shape your path
• Anniversary and birthday gifts
• Company-provided equipment for remote work