Gemini AI architect

VLink founded in 2006 is a leading global provider of software engineering services with next-gen technologies and best-in-class talent. Our Headquarters are in the U.S and we have offices in 7 countries from North America-Europe to APAC with expansion plans in the Middle East. With over 1000 employees working globally VLink has helped SMBs and large enterprises achieve their business goals and gained the trust of Fortune-250 companies. VLink is Great Place to Work CertifiedTM and has been a consistent winner as- Best Places to Work in CT. Trust collaboration and accountability are the three elements that are at the core of VLinks work culture. We value our professionals providing comprehensive benefits and the opportunity for growth.

As an Applied AI Developer on the Enterprise AI team youll evaluate where AI fits build the tools and platforms that make it practical and enable teams across the company to adopt modern AI development patterns including LLM orchestration agentic workflows and model governance on Google Gemini Enterprise. Youll design and ship Custom Agents using the Agent Development Kit (ADK) register them in the Agent & Tool Registry wire them to enterprise systems via BYO and vendor-managed MCP servers and enforce Agent Identity Security and Observability end to end. You stay hands-on and outcomes-oriented: prototyping evaluating emerging AI technologies and shipping solutions that make the organization measurably more efficient.

Youll be building on our Google Gemini Enterprise stack:

• Platform surface (): Google Enterprise business apps Custom Agents and enterprise Search UX as the primary experiences delivered to internal users.

• Agentic Studio Platform: ADK & runtime & model training Agent & Tool Registry Agent Identity Agent Security and Agent Observability the build govern and operate layer for all agents.

• Multi-model / Bring Your Own LLM (BYOLLM): flexible model routing across Gemini Claude LLAMA and OpenAI selecting the right model per use case cost and quality target.

• Integration & data layer: enterprise data sources (Google Workspace Microsoft 365 and others) BYO MCP servers (application/tool-centric) and vendor-managed MCP servers & agents.

What Youll Do:

• Think AI-first assess where agentic approaches genuinely outperform conventional solutions then own the quality bar: build automated evals simulation tests and regression frameworks that keep our Gemini Enterprise agents reliable and improving as they scale integrated with Agent Observability.

• Design agentic systems on the Agentic Studio Platform Custom Agent development with ADK tool orchestration agent reasoning memory MCP integrations (both BYO and vendor-managed servers) and human-in-the-loop workflows.

• Define and implement AI governance patterns guardrails data lineage auditability and responsible AI practices using Agent Identity Agent Security and the Agent & Tool Registry to ensure our agentic systems are safe compliant and trustworthy.

• Enable multi-model flexibility (BYOLLM) implement model routing and fallback across Gemini Claude LLAMA and OpenAI balancing capability latency and inference cost.

• Drive adoption through pilots proofs-of-concept and scalable implementations across engineering teams delivered through surfaces (business apps Custom Agents and Search UX).

• Collaborate with various business functions product security and platform teams to translate AI use cases into production-grade end-to-end solutions connected to enterprise data sources across Google and Microsoft ecosystems.

• 7 years of professional software engineering with at least 2 years focused on applied AI in production systems.

• Proficient in Python and/or Go; comfortable reading and writing in the other.

• Proven experience building and scaling multi-agent or agent-driven systems in production real-world operational ownership not just simple LLM workflows.

• Hands-on experience with Google Gemini Enterprise and the Agent Development Kit (ADK) or comparable enterprise agent platforms including agent runtime agent/tool registration identity and observability.

• Hands-on experience with modern agent ecosystems including frameworks (e.g. Google ADK LangGraph Mastra Claude Agent SDK) observability and evals tooling (e.g. Agent Observability Langfuse LangSmith Braintrust) MCP implementations and leading AI SDKs across a multi-model / BYOLLM environment (e.g. Gemini/Vertex AI Anthropic (Claude) OpenAI LLAMA).

• Strong systems and backend architecture fundamentals designing scalable reliable systems and handling infrastructure performance failure modes cost and deployment concerns.

• Good understanding of cloud-native environments with Google Cloud (GCP) and Vertex AI strongly preferred (and/or AWS) compute storage networking and managed AI services.

• Experience designing and integrating with enterprise APIs (REST GraphQL) including authentication and authorization patterns (OAuth2 SAML API keys RBAC) and connecting agents to enterprise data sources across Google Workspace and Microsoft 365. Comfortable working with backend databases (SQL and NoSQL) writing queries understanding data models and building data access layers that enforce role-based access control aligned with Agent Identity and Agent Security.

• Strong cross-functional collaborator and communicator able to partner with Product Operations and domain experts to deliver end-to-end systems with measurable real-world impact.

• A force-multiplier on the team you raise the bar for clarity of thinking system design standards and team execution.

• Direct experience deploying agents on Google Gemini Enterprise / Agentic Studio Platform (Custom Agents Search UX business apps) in production.

• Experience with AI evaluation tooling (Agent Observability Langfuse LangSmith Braintrust or custom eval frameworks).

• Experience building custom MCP servers (both application/tool-centric BYO servers and vendor-managed servers & agents) not just consuming them.

• Familiarity with containerization and orchestration (Docker Kubernetes) and GCP-native deployment (Cloud Run GKE).

• AI-native builder with high velocity and ownership intellectual curiosity rapid adoption of new tools bias to action and the ability to drive ambiguous problems from concept to production.

• Hands-on experience with inference cost optimization across a multi-model/BYOLLM setup managing spend as agent deployments scale.

• Experience using AI-powered coding agents (e.g. Claude Code GitHub Copilot Cursor Windsurf) to accelerate development workflows rapid prototyping code generation debugging and test writing.

• Experience with RAG (Retrieval-Augmented Generation) architectures and document retrieval pipelines vector databases embedding models chunking strategies and hybrid search for building agents that answer questions grounded in enterprise documentation and data sources.

VLink is an equal opportunity employer committed to fostering an inclusive environment where diversity is celebrated. All qualified applicants will be considered for employment without regard to race color religion sex sexual orientation gender identity national origin disability or veteran status. Employment is contingent upon successful completion of a background check.

This job application process may use AI-powered tools to assist in screening and evaluating applications based on objective job-related qualifications. AI is used solely to support the recruitment process and all final hiring decisions are made exclusively by our human recruitment team.

Applicant information will be handled in accordance with VLinks privacy policy.