AI Full Stack Engineer

  • Posted 12 hours ago | Updated 12 hours ago

Overview

Remote
$50 - $55
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Angular
Python
FastAPI
OpenAI
Vertex AI
GCP

Job Details

AI Full Stack Engineer Remote $55 on W2

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We are hiring AI Full Stack Engineers to build AI-Native Applications focused on automation and enterprise-scale intelligent systems. The hiring manager is very particular about technical depth and hands-on experience in building production-ready applications.
We are looking for two classes of full-stack engineers:
CLASS I Angular + Python (FastAPI) Full Stack Engineer
  • Strong Angular frontend
  • Python FastAPI backend
  • Experience integrating AI/ML services: OpenAI, Vertex AI, etc.
  • Must have deployment experience on Google Cloud Platform
CLASS II Angular + Java (Spring Boot) Full Stack Engineer
  • Strong Angular frontend
  • Java Spring Boot backend
  • Must have deployment knowledge on Google Cloud Platform
  • AI/ML experience is optional
Job Description
You will design, develop, and deploy AI Native Applications on Google Cloud Platform, integrating ML models, LLM services, and AI orchestration frameworks.
Responsibilities:
  • Build AI-native web applications & APIs
  • Utilize Google Cloud Platform services: Vertex AI, AI Platform, BigQuery, Cloud Storage
  • Integrate AI/ML models and build RAG pipelines
  • Work with LangChain, LangGraph, ADK
  • Fine-tune models on Google Cloud Platform workloads
  • Implement vector DBs (Pinecone, Weaviate, FAISS)
  • Develop data connectors for structured/unstructured data
  • Deploy scalable apps using Angular + Python/Java
  • Collaborate with product, automation, and data science teams
  • Follow Agile and document workflows, pipelines, and best practices
Qualifications:
  • 5+ years in AI/ML engineering or full stack engineering
  • Strong Python skills (mandatory)
  • JavaScript/TypeScript proficiency
  • Angular/React + FastAPI/Django or Spring Boot experience
  • Hands-on with LLM frameworks (LangChain, ADK, OpenAI, Vertex AI)
  • Strong Google Cloud Platform experience (deployment, telemetry, logging)
  • Knowledge of TensorFlow / PyTorch / scikit-learn
  • Experience with Docker/Kubernetes & CI/CD
  • Excellent communication skills
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