Full Stack AI Engineer
Akaasa Technologies
Full Stack AI Engineer - Remote
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OVERVIEW
The G3 Full Stack AI Engineer will join an innovative team focused on building high-performance AI-driven web applications and scalable backend services. The role involves designing dynamic user interfaces, developing robust data processing and analytics pipelines, and integrating modern AI agent architectures and Large Language Model (LLM) interfaces.
IDEAL CANDIDATE PROFILE
The ideal candidate is a proactive, US-based Senior Full Stack Engineer with strong foundational backend and frontend capabilities complemented by practical experience in modern AI agent integration. They possess deep analytical problem-solving skills, work comfortably in distributed remote environments, and bring high adaptability to rapidly evolving AI technical stacks.
DAY-TO-DAY RESPONSIBILITIES
Architect and implement front-end interfaces using modern web frameworks and technologies (HTML, CSS, JS, TSX, Lit, Angular, Wiz).
Build and maintain scalable backend microservices and databases utilizing Go, SQL, Python, Java Flume, and TS BoQ.
Design and implement data analytics and interactive visualizations to deliver clear user insights using tools like Vega-Lite and Charts.
Integrate Large Language Models (LLMs) and build autonomous AI agent architectures into existing system workflows.
Collaborate with cross-functional teams to engineer end-to-end applications supporting BoQ Web and BoQ GOA platforms.
Ensure high code quality, system performance, security, and scalability across all tier levels.
TOP REQUIRED SKILLS
Key focus is G3 level expertise touching both frontend systems ( BoQ Web & BoQ GOA ) and backend infrastructure .
Requires proven hands-on work with AI agent frameworks and LLM integrations .
Full Stack Web Development (HTML/CSS/JS/TSX with Lit, Angular, or Wiz) 3+ years
Backend Services (Go, Python, Java Flume, SQL, TS BoQ) 3+ years
AI Architectures & LLM Integration 1+ years
NICE-TO-HAVES
Data Visualization & Analytics (Vega-Lite, Charts)
Experience with TS BoQ and specialized web infrastructure
Knowledge of Google/Enterprise-grade software stack frameworks
$150k - $230k
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