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GEN AI Platform Lead Engineer(GCP) | Careerium

Careerium

RemoteRemote OKFull-time$140k – $220k / year

About this role

GEN AI Platform Lead Engineer(GCP) | Careerium Careerium.← All Jobs GEN AI Platform Lead Engineer(GCP) Posted Jul 25, 2026 Job Title: GEN AI Platform Lead Engineer(GCP) Location: Remote FULLTIME ONLY Job Description - Must Have Technical/Functional Skills - Python, FastAPI/Flask - LLMs (OpenAI, Gemini, Claude, Llama, Mistral, etc.) - Agent frameworks (LangChain, AutoGen, CrewAI, etc.) - Vector databases (FAISS, Pinecone, Chroma, Weaviate) - Embeddings, RAG, semantic search - Hands on experience in GCP, Vertex AI, Agentic Solution development, maintenance activities. - Machine learning - Multi agent orchestration frameworks, Workflow tools (Airflow, Prefect) - Generative reasoning optimization (chain of thought, tree of thought, RAP) - Knowledge of enterprise guardrails & Responsible AI - Must have exposure GitHub, Jupiter - Roles & Responsibilities - Knowledge in Design, build, and optimize LLM based autonomous agents for reasoning, planning, and task execution. - Integrate with Data engineer and Data Scientists to suggest and build the AI Agentic solution for automating business workflow E2E. - Develop and deploy machine learning models, including supervised, unsupervised, and deep learning approaches. - Design and implement secure, scalable, and reliable GCP cloud architectures. - Build and maintain core platform services using: (Compute Engine,GKE (Google Kubernetes Engine), Cloud Run / Cloud Functions, BigQuery / Cloud Storage, Cloud SQL / Spanner) - Develop Infrastructure-as-Code (IaC) using Terraform or Deployment Manager - Implement and manage CI/CD pipelines using Cloud Build, Jenkins, GitHub Actions, or GitLab. - Strong hands-on experience with key GCP services, especially (GKE, Compute Engine, Cloud Run, Big Query, Cloud Storage, VPC networking) - Proficiency in Terraform / IaC, Python, Shell scripting, Kubernetes / Docker, CI/CD tools (Cloud Build, Jenkins, GitHub Actions) - Strong understanding of Networking (VPC, DNS, NAT, Load Balancing)

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