AI Full Stack Engineer
Posted Today by 1764911050
Negotiable
Outside
Remote
USA
Summary: The role of AI Full Stack Engineer involves designing, developing, and deploying AI-native applications on Google Cloud Platform, with a focus on automation and intelligent systems. Candidates are sought for two classes of engineers, one specializing in Angular with Python and the other in Angular with Java. The position requires strong technical depth and hands-on experience in building production-ready applications. Collaboration with product, automation, and data science teams is essential for success in this role.
Key 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
Key Skills:
- 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
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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