VI
Jr Engineer - Gemini Enterprise, Agentic AI
VARITE INDIA PRIVATE LIMITED
🇮🇳 India
Hybrid
Junior
3 days ago
- Gemini
- ADK
- AI
- CI/CD
- GitHub Actions
- GitLab CI
- Python
- NoSQL
- IAM
- OIDC
- GCP
- Salesforce
- Atlassian
- Devops
- Test Automation
- Agile
- Model Context Protocol
- MCP
- Vector Search
- DLP
- VPC
- Machine Learning
- Vertex AI
3 days ago
| JD -Jr 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 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 |
| 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 |
| ● 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 |
| ● 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 |
| ● 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. | |
| Good-to-Have Skills | |
| ● Experience with inter-agent communication protocols such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) architectures. | 3 |
| ● Experience integrating agents with Enterprise Knowledge Graphs, structured ontologies, and hybrid vector search systems. | 3.5 |
| ● Experience with enterprise data security frameworks such as Sensitive Data Protection (SDP/DLP) and VPC Service Controls (VPC-SC). | 3.5 |
| Qualifications and Prior Experience | |
| ● 3 to 5+ 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 visitJobs In India – VARITE.
Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.
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.
Jr Engineer - Gemini Enterprise, Agentic AI · VARITE INDIA PRIVATE LIMITED