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Posted Jun 7, 2026

GEN AI Platform Lead Engineer(GCP)

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.