Full Stack AI & Google Cloud - Part-Time

Job Description

·      We are looking for an experienced Technical Lead with 8+ years of experience in full-stack software engineering and technical leadership to drive the design, development, and delivery of AI-powered, cloud-native solutions. 

·      The ideal candidate will have strong expertise in Google Cloud Platform (GCP), Vertex AI, Generative AI, and modern full-stack development. 

Key Responsibilities: 

·      Lead end-to-end solution architecture and technical delivery for AI-powered applications. 

·      Design scalable, secure, and cloud-native solutions using GCP services and modern architectural patterns. 

·      Build and integrate GenAI solutions leveraging Vertex AI, Gemini, RAG, Vector Search, and LLMs. 

·      Provide technical leadership, mentor engineering teams, and conduct architecture and code reviews. 

·      Collaborate with business stakeholders, architects, and cross-functional teams to deliver enterprise-grade solutions. 

·      Drive DevOps, CI/CD, security, governance, and AI best practices across the SDLC. 

Required Skills

·      8+ years of experience in Full Stack Development with at least 3 years in a Technical Lead role. 

·      Strong backend expertise in Python, Java, Golang, or Node.js and frontend experience with React, Angular, or Vue.js. 

·      Hands-on experience with Google Cloud Platform (Cloud Run, GKE, BigQuery, Pub/Sub, Cloud SQL, IAM, Cloud Build). 

·      Proven experience with Vertex AI, Gemini, Prompt Engineering, RAG, Vector Search, LLMs, and AI model lifecycle management. 

·      Strong knowledge of Docker, Kubernetes, CI/CD, Terraform, REST APIs, Microservices, and Event-Driven Architecture. 

·      Experience with AI-assisted development tools such as GitHub Copilot, Cursor IDE, ChatGPT, Claude, and Google Cloud Code Assist. Strong communication, stakeholder management, and technical mentoring skills. 

·      Experience in System Integration or Consulting environments.

·       Exposure to Azure or AWS cloud platforms. 

·      Knowledge of BigQuery, Dataflow, Pub/Sub, ETL/ELT pipelines, and AI governance. 

·      Experience supporting technical solutioning, pre-sales activities, and client presentations.