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GEN AI Platform Lead Engineer(GCP)

Worldwide Salaried Open

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)
  • Security (IAM, KMS, service identities) and SRE concepts (SLIs/SLOs, monitoring, scaling)
  • Automate provisioning, scaling, monitoring, and operational processes.
  • Very Good communication skill.

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