senior full stack AI developer with RAG, LLM, agentic system development GCP and DevOps - Dubai
13 hours ago
Job description
Company DescriptionSquash Apps is a highly-rated full-stack consulting company specializing in developing scalable and robust web applications for forward-thinking clients.
Our expertise spans a variety of technologies, including MEAN, MERN, MEVN stacks, Java stack, SQL/NOSQL databases, Elastic Search, Redis, and hybrid mobile apps.
With a commitment to quality and innovation, our team creates cutting-edge solutions for clients, including ecommerce platforms like Panitr. We are passionate about building top-quality applications and are looking for driven individuals to join our dynamic team.Role Description
This is a full-time remote role for a Senior Full Stack AI Developer with expertise in RAG, LLM, agentic system development GCP and DevOps.
The selected candidate will be responsible for designing, developing, and deploying full-stack applications while integrating AI solutions.Typical responsibilities include developing and managing both front-end and back-end components, working with cloud platforms like GCP, implementing DevOps practices, and ensuring the scalability and performance of applications.
Collaboration with cross-functional teams to deliver high-quality applications is essential in this role.Senior Full Stack AI Engineer
Dubai
Full-time
- Onsite
We are seeking a Senior AI Full Stack Software Engineer to bridge the gap between advanced AI research and production-grade software.
This role is for a hands-on builder who excels in backend architecture, scalable systems, and the evolving world of AI.
You will design and build production grade AI products with multi-agents that coordinate data, tools, and business processes. The work spans engineering fundamentals, model integration, evaluation, and operational excellence across the full stack.Key Responsibilities
Build and deploy AI agents / apps / tools in Python using Flask / Django or TensorFlow, vector DBs, and other frameworks like CrewAI, LangChain
Build high-accuracy context and retrieval systems (RAG), including chunking strategies, document selection, and relevance controls
Design and refine complex AI instructions and prompt logic to ensure the highest quality structured outputs from LLM models
Focus on backend logic and scalable code, shipping fast with clean abstractions and reusable patterns to avoid accumulating technical debt
Turn short-term R&D projects into real-world impact by vetting new technologies, potential suppliers, and product opportunities
Design web and automotive client integrations that surface AI capabilities in our customer-facing products
Deploy and manage releases on Terraform, GCP, Cloud Run, and Firebase while ensuring system security and high performance
Debug issues and drive reliability in production environments
Qualifications & Skills
8+ years of experience building and managing scalable Python applications in production environments
Strong evidence of building enterprise-grade systems with a focus on stability and performance
Educational background in Computer Science or a related field
Evidence you have built agents commercially or through meaningful open source work using frameworks like CrewAI / LangChain or any other
Advanced Python and JavaScript/TypeScript with deep understanding of design patterns
Scalability and performance familiarity with large-scale systems, tools, and cloud platforms including GCP, and Firebase
Solid engineering foundations in Git, Docker, and different types of APIs
Ability to clearly explain complex technical concepts to cross-functional teams effectively
Fluency in English, is mandatory
Must Have
Languages:
Python 3.x, Node JS, JavaScript / TypeScript
Frameworks:
Flask, Django, React, Vue JS
AI Stack:
LangChain, CrewAI, LlamaIndex, Vector DBs
Models:
OpenAI, Claude, Gemini
Cloud & Ops:
GCP (Cloud Run), Firebase, Docker, CI/CD
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