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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** SAI SYSTEMS - **Location:** New York, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** 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, 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 - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/a92a3984-f4ba-49e2-adb6-ea92b2154331 ## About the Role * 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. ## 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. ## Related Videos - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Got AI ideas but no money? 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