AI Engineer

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.

Key Responsibilities

• 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.

Required Skills

• 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

Education & Experience

• 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.