VI
Sr Engineer - Gemini Enterprise, Agentic AI
VARITE INDIA PRIVATE LIMITED
🇮🇳 India
Hybrid
Senior
3 days ago
- Gemini
- ADK
- AI
- Google Workspace
- GCP
- M365
- Salesforce
- Atlassian
- IAM
- OIDC
- ACLS
- CI/CD
- GitHub Actions
- GitLab CI
- React.js
- Python
- NoSQL
- MCP
- DocuSign
- MS Office
- Jira
- RBAC
- Devops
- Test Automation
- Agile
- Model Context Protocol
- Vector Search
- DLP
- VPC
- Machine Learning
- Vertex AI
3 days ago
| JD - Sr Engineer | Expected Level (1 - 5) |
| ● Design, develop, and deploy production-grade Multi-Agent Systems (MAS) and agentic workflows using Gemini Enterprise | 4 |
| ● Identify need for Pro Code Vs No Code design based on customer’s problem statement and data sources | 4 |
| ● Design Deploy and custom agents using the Agent Development Kit (ADK), and Agent Platform AI Reasoning Engine and integrate with Gemini Enterprise | 4 |
| ● Build native integrations across the Google Workspace Ecosystem (Docs, Drive, Gmail, Calendar, Meet) and NotebookLM for grounded enterprise research, document automation, and conversational discovery. | 4 |
| ● Architect scalable short-term session storage, conversation state persistence, and long-term memory architectures across multi-agent interactions. | 4 |
| ● Implement end-to-end authentication and authorization perimeters for agents, Google Cloud services, and 3rd-party SaaS integrations (e.g., Microsoft Entra ID / M365, Salesforce, Atlassian) using IAM, OAuth 2.0, OIDC, and service identities. | 4 |
| ● Enforce fine-grained Access Control Lists (ACLs), user/group permission inheritance, and data governance policies to ensure agents strictly adhere to enterprise access boundaries. | 4 |
| ● Utilize developer tooling including Agent CLI and Antigravity for local rapid prototyping, testing, emulation, distributed tracing, and root cause analysis (RCA). | 4 |
| ● Architect Human-in-the-Loop (HITL) workflows, ensuring seamless Interrupt and Resume patterns between autonomous agents and human experts for critical decision points. | 4 |
| ● Build and maintain automated CI/CD pipelines (e.g., Cloud Build, GitHub Actions, GitLab CI) to manage versioned agent deployments, automated testing, and continuous regression evaluations. | 4 |
| ● Implement advanced reasoning patterns such as Chain-of-Thought (CoT), ReAct, Plan-and-Solve, and Self-Reflection to enhance agent reliability. | 4 |
| ● Establish quantitative evaluation frameworks to measure agent trajectories, tool invocation precision/recall, and reasoning faithfulness. | 4 |
| ● Collaborate directly with client engineering and architecture teams to deploy, validate, and operationalize enterprise agentic AI solutions in client environments. | 4 |
| 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. | 4.5 |
| ● 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). | 4 |
| ● 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). | 4 |
| ● 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. | 4 |
| ● 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). | 4 |
| ● 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. | 4 |
| ● Developer Tooling: Proficiency in developer tooling such as Agent CLI and Antigravity for local simulation, debugging, prompt engineering, and execution graph tracing. | 4 |
| ● 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. | 4 |
| ● 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. | 4 |
| ● Client Collaboration: Strong technical communication, consulting acumen, and client-facing collaboration skills within an Agile environment. | 4 |
| Good-to-Have Skills | |
| ● Experience with inter-agent communication protocols such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) architectures. | 4 |
| ● Experience integrating agents with Enterprise Knowledge Graphs, structured ontologies, and hybrid vector search systems. | 4 |
| ● Experience with enterprise data security frameworks such as Sensitive Data Protection (SDP/DLP) and VPC Service Controls (VPC-SC). | 4 |
| Qualifications and Prior Experience | |
| ● 8+ years of experience in software development, cloud solution architecture, and AI engineering (preferably on Google Cloud Platform). | |
| ● Proven track record of designing, building, and deploying production AI agents or enterprise GenAI solutions using ADK, Vertex AI, or Gemini. | |
| ● Hands-on experience in customer-facing technical delivery, solutions engineering, or forward-deployed engineering (FDE) roles. | |
| ● Familiarity with enterprise Agile development lifecycles, sprint delivery, and stakeholder management. | |
| Certifications and Trainings | |
| ● Professional Machine Learning Engineer | |
| ● Google Skill Boost labs/course | |
| ○ Introduction to Gemini Enterprise : | |
| https://partner.skills.google/course_templates/1401 | |
| ○ Gemini Enterprise and NotebookLM : | |
| https://partner.skills.google/paths/3667 | |
| ○ Getting started with ADK: | |
| https://www.skills.google/catalog_lab/32017 | |
| ○ Deployment: | |
| https://www.skills.google/catalog_lab/32530 | |
| ○ Build and deploy multi agent: | |
| https://www.skills.google/course_templates/1445 |
How to Apply:Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.
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Experience Level Bonus Referral:
| 0-2 years | INR 5,000 |
| 2-6 years | INR 7,500 |
| 6+ years | INR 10,000 |
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.
Sr Engineer - Gemini Enterprise, Agentic AI · VARITE INDIA PRIVATE LIMITED