AI Engineer

SAI SYSTEMS

New York, United States

7 days ago

Apply on www.dice.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

7 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Software Applications BigQuery Cloud Engineering Cloud Storage Databases Continuous Integration Python (Programming Language) Performance Tuning Cloud Services Software Deployment

+22 more

Software Engineering Web Application Frameworks Data Logging Google Cloud ReactJS Flask (Web Framework) Large Language Models Prompt Engineering Generative AI Backend Git Fastapi Build Management Containerization AngularJS Kubernetes Information Technology Machine Learning Operations Front End Software Development Restful APIs Terraform Docker

Job description

We are looking for a Senior AI Engineer with strong hands-on experience in Artificial Intelligence, Python, Google Cloud Platform, Full Stack AI development, and CI/CD pipelines. The ideal candidate will build and deploy AI-powered applications, integrate LLM/GenAI capabilities, develop scalable backend and frontend solutions, and automate cloud deployments on Google Cloud Platform., * Design, develop, and deploy AI/GenAI applications using Python and modern AI frameworks.

Build LLM-powered applications, RAG pipelines, AI agents, and intelligent automation solutions.
Develop scalable backend APIs and full-stack applications supporting AI/ML workloads.
Work with Python, FastAPI/Flask, REST APIs, and modern frontend technologies.
Build and manage cloud-native AI solutions using Google Cloud Platform services.
Work with Vertex AI, BigQuery, Cloud Run, GKE, Pub/Sub, Cloud Storage, and other Google Cloud Platform services.
Develop and maintain CI/CD pipelines for automated build, testing, deployment, and release processes.
Containerize applications using Docker and deploy/manage workloads on Kubernetes/GKE.
Implement production-ready AI solutions including monitoring, logging, security, scalability, and performance optimization.
Integrate AI models and APIs such as OpenAI, Gemini, Vertex AI, or other foundation models.
Collaborate with product managers, data scientists, ML engineers, software engineers, and cloud architects.
Write clean, maintainable, testable, and production-ready Python code.

Requirements

Artificial Intelligence / GenAI - Advanced
Python AI Development - Advanced
Google Cloud Platform Engineering - Advanced
Full Stack Development for AI Applications - Advanced
CI/CD Pipeline Development - Advanced
Strong experience with LLMs, RAG, prompt engineering, AI agents, and/or ML workflows
Strong Python programming skills
Experience developing REST APIs using FastAPI, Flask, or similar frameworks
Experience with Docker and Kubernetes
Hands-on experience with Google Cloud Platform cloud services
Strong understanding of software engineering, APIs, databases, and cloud architecture
Experience with Git-based development and automated CI/CD

Preferred Skills

Vertex AI / Gemini
LangChain, LangGraph, LlamaIndex, or similar GenAI frameworks
Vector databases such as Pinecone, Weaviate, Milvus, or Chroma
BigQuery
Cloud Run / GKE / Pub/Sub / Cloud Storage
Terraform or Infrastructure as Code
MLflow, Kubeflow, or MLOps
React, Angular, or other modern frontend frameworks
AI observability, evaluation, guardrails, and production optimization, * Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field.
7+ years of software engineering experience, with significant recent experience in AI/GenAI.
Strong experience delivering AI applications from development through production deployment.