GenAI Engineer

e are seeking a Generative AI (GenAI) Engineer to design, develop, and deploy scalable AI solutions using Google Cloud Platform (GCP). The role focuses on building LLM-powered applications and intelligent agents using Google Agent Development Kit (ADK) and Vertex AI, while applying strong fundamentals in machine learning algorithms to deliver production-ready AI systems. Key Responsibilities Generative AI Development • Design and build GenAI solutions and AI agents using Google ADK • Develop LLM-based workflows including: • Prompt engineering • Tool-using agents • Retrieval-Augmented Generation (RAG) • Evaluate, fine-tune, and optimize LLM performance, cost, and latency Machine Learning Engineering • Design, implement, and deploy ML models using: • Supervised and unsupervised algorithms • NLP and embedding-based approaches • Predictive and recommendation models • Perform feature engineering, model training, testing, and validation GCP & Vertex AI Platform • Develop end-to-end ML pipelines using Vertex AI: • Training • Pipelines • Model deployment and monitoring • Use GCP services such as: • BigQuery • Cloud Storage • Cloud Run / Cloud Functions • Pub/Sub • Ensure scalable, secure, and reliable AI deployments MLOps & Production Readiness • Implement CI/CD workflows for ML and GenAI solutions • Monitor model performance, drift, and reliability • Apply best practices for responsible AI, security, and compliance • Optimize AI workloads for performance and cost on GCP Collaboration • Work closely with data scientists, product managers, and engineers • Translate business requirements into AI-driven solutions • Contribute to AI standards, reusable frameworks, and documentation Required Skills Core Technical Skills (Mandatory) • Google Cloud Platform (GCP) • Vertex AI (training, pipelines, deployment) • Google Agent Development Kit (ADK) • Machine Learning Algorithms • Python (advanced proficiency) Generative AI Expertise • Large Language Models (LLMs) • Prompt and system prompt engineering • RAG architectures • Embeddings and semantic search • Model evaluation and optimization techniques Preferred / Nice-to-Have Skills • Experience with vector databases or Vertex AI Vector Search • Knowledge of MLOps tools and concepts • Retail, e-commerce, or large-scale enterprise data experience • Familiarity with responsible AI and governance practices Education & Experience • Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field • 3–8+ years of experience in ML, AI, or software engineering • Proven ability to deliver production-grade AI solutions