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Forward Deployed Engineer - Gemini/AI/ML

Creeno Solutions•Hyderabad, Bangalore
Full-time
👁️ 0 views•📝 0 applications•Posted 9/25/2026•Expires 10/28/2026
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Job Description

Must-Have Skills : - Core Engineering & Frameworks : Strong proficiency in Python with production-level software engineering practices, along with deep, hands-on experience building multi-agent systems using Google ADK (Agent Development Kit) or comparable agentic frameworks. - Gemini & Workspace Ecosystem : Solid hands-on experience deploying and customizing Gemini Enterprise, NotebookLM, and integrating with the broader Google Workspace Ecosystem (APIs, Add-ons, Drive/Docs connectors). - Memory & State Architecture : Demonstrated expertise in managing agent session state, short-term context caching, and durable long-term memory backends (vector databases, relational/NoSQL session stores). - Third Party Tools : Experience with MCP Connectors to securely integrate core third-party platforms (e.g., iManage, NetDocuments, Relativity, DocuSign, MS Office Suite, Sharepoint, JIRA) with Gemini Enterprise. - Auth & Security : Strong understanding of authentication and authorization protocols (IAM, OAuth 2.0, OIDC, Service Accounts, Workload Identity Federation) across Google Cloud and 3rd-party SaaS platforms (Microsoft Entra ID, Salesforce, Atlassian). - ACLs & Permissions : Deep working knowledge of enterprise Access Control Lists (ACLs), identity federation, permission trimming, and role-based access control (RBAC) across heterogeneous data sources. - Developer Tooling : Proficiency in developer tooling such as Agent CLI and Antigravity for local simulation, debugging, prompt engineering, and execution graph tracing. - CI/CD & DevOps : Proven track record of configuring and maintaining automated CI/CD pipelines (Cloud Build, GitHub Actions) for agent containerization, deployment, and test automation. - Evaluation & Debugging : Practical knowledge of AI evaluation methodologies, trajectory analysis, and performing root cause analysis (RCA) on agent execution failures, tool errors, and prompt regressions. - Client Collaboration : Strong technical communication, consulting acumen, and client-facing collaboration skills within an Agile environment. Mandatory Skills : - Strong proficiency in Python - Gemini Enterprise - Multi agent systems with ADK - Vertex AI Certifications and Trainings : - Professional Machine Learning Engineer (PMLE) - Google Skill Boost labs/course

Required Skills

AgileCI/CDDevOpsGCPJIRAMachine LearningMS OfficePythonRoot Cause AnalysisSalesforceSoftware Engineering

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