Full-Stack AI Engineer

Job Title : Full-Stack AI Engineer

Position Type : Full-Time, Remote

Working Hours : U.S. client business hours (with flexibility for model deployments, experimentation cycles, and sprint schedules)

About the Role :

Our client is seeking a Full-Stack AI Engineer to design, build, and deploy AI-powered applications. This role requires bridging software engineering with applied machine learning, ensuring that models are integrated into production systems that are scalable, reliable, and user-friendly. The Full-Stack AI Engineer combines back-end services, front-end interfaces, and machine learning pipelines to deliver practical, business-driven AI solutions.

Responsibilities :

AI Model Integration :

• Deploy pre-trained and fine-tuned ML / LLM models (OpenAI, Hugging Face, TensorFlow, PyTorch).
• Wrap models in APIs (FastAPI, Flask, Node.js) for scalable inference.
• Implement vector search integrations (Pinecone, Weaviate, FAISS) for retrieval-augmented generation (RAG).

Data Engineering & Pipelines :

Application Development (Full-Stack) :

Infrastructure & Deployment :

Security & Compliance :

Collaboration & Iteration :

What Makes You a Perfect Fit :

Required Experience & Skills (Minimum) :

Ideal Experience & Skills :

What Does a Typical Day Look Like?

A Full-Stack AI Engineer’s day revolves around connecting models to real-world applications. You will :

In essence : you ensure AI moves from prototype to production — reliable, compliant, and impactful.

Key Metrics for Success (KPIs) :

Interview Process :