Full Stack AI Engineer

Total-TECH Co

The Job Description

1. Design and develop end-to-end AI-powered applications and internal tools for business teams.
2. Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
3. Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
4. Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
5. Deploy, monitor, and maintain applications using Docker and Kubernetes.
6. Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
7. Stay updated on the latest trends in AI/ML, Generative AI, and LLM frameworks (LangChain, LlamaIndex, etc.).
   8. Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.

   Requirements:
   

• 3+ years of professional experience as a Software Engineer.

Strong full-stack development skills:

Frontend: React, TypeScript/JavaScript.

Backend: Python (FastAPI or Flask).

• Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
• Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
• Solid understanding of RESTful APIs, microservices, and system design.
• Strong problem-solving skills, with a collaborative and pragmatic mindset.
  

  Preferred Qualifications:
  

• Experience with LangChain, LlamaIndex, or similar LLM frameworks.
• Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
• Exposure to MLOps and AI model lifecycle management.
• Familiarity with prompt engineering and AI agent frameworks.
• Experience building internal tools or platforms for cross-functional teams.

Tagged as: AI , AWS , azure , devops , docker. , GCP , kubernetes , microservices , python , react , typescript