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Salary
≈ $20k – $45k per year (Estimated)
Location
In office (Hyderabad, Bengaluru)
Seniority
Staff · 8+ years exp

First seen by Alion on Sep 25, 2026.

Overview
Company
Impact
Profile match
SAP & JD Edwards. Our main goal is finding smart ways of using technology that will help build a better tomorrow for everyone, everywhere.

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

Skills

Python, Vertex AI, Artificial Intelligence, Machine Learning, Forward Deployment Engineering, Agentic AI, LLM, RAG

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