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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying GenAI applications, particularly on the Gemini Enterprise Agent Platform, with a strong focus on model fine-tuning, integration, and performance evaluation. Proficient in developing production-quality solutions using Python and relevant SDKs while ensuring compliance and safety standards are met.
Highest-signal resume keywords
GenAI Application DevelopmentRAG Pipeline ImplementationMulti-Agent OrchestrationLarge Language Model Fine-TuningGoogle Cloud Certification
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
GenAI SolutionsRAG PipelinesPrompt EngineeringModel Fine-TuningPython ProgrammingEvaluation HarnessesRegression TestingIntegration DevelopmentCloud Data ServicesAgent2Agent Protocol
Soft Skills
Technical DiscoveryRisk ManagementCollaboration
Tools & Technologies
Gemini Enterprise Agent PlatformVertex AIAWS BedrockAzure AI FoundryOpenAI APIAnthropic APIBigQuerySnowflakeCloud RunGKE
Certifications & Qualifications
Professional Machine Learning EngineerProfessional Cloud Architect
Industry Keywords
Agentic AIMulti-Agent SystemsAI WorkloadsCompliance RequirementsSolution Architecture
Tech Stack
Tools & technologiesAWSAzureBigQueryCloudERPPython
About the role
Key responsibilities & impact- Design, build, and deploy agentic assistants and GenAI applications on the Gemini Enterprise Agent Platform
- Implement RAG pipelines and grounding using search and grounding capabilities
- Integrate Agent2Agent protocol and multi-agent orchestration patterns
- Evaluate and select foundation models based on client use case, cost, and performance
- Fine-tune or prompt-engineer models for accuracy, safety, and compliance requirements
- Monitor model performance and iterate based on feedback and retrospectives
- Build evaluation harnesses and regression test sets for agent accuracy, grounding, and hallucination rates
- Build live API and tool-calling integrations with client systems such as SIS, ERP, and casework systems
- Partner with Data Engineering and AgentOps on data access, infrastructure, deployment, monitoring, and environment management
- Maintain technical documentation of solution architecture, model configurations, and integration points
- Convert one-off client work into repeatable playbooks and connectors
- Execute the Forward Deployed Engineer’s delivery backlog, provide estimates, flag risks, and deliver solutions on schedule
- Participate in technical discovery sessions to validate feasibility
- Conduct code and configuration reviews
- Serve as the quality gate for release readiness
- Provide technical input on scope, risk, and timelines
Requirements
What you’ll need- Hands-on experience building and deploying GenAI/agentic AI solutions in production, including LLM-based assistants, RAG pipelines, or multi-agent orchestration
- Direct experience with the Gemini Enterprise Agent Platform or Vertex AI preferred; deep GenAI experience on AWS Bedrock, Azure AI Foundry, OpenAI, or Anthropic APIs considered
- Experience with large language models and prompt engineering, fine-tuning, or grounding techniques
- Familiarity with the Agent2Agent (A2A) protocol and multi-agent orchestration patterns
- Working knowledge of cloud data, compute, and access-control services supporting AI workloads, such as BigQuery/Snowflake, Cloud Run/GKE, and IAM
- Google Cloud certification preferred, including Professional Machine Learning Engineer or Professional Cloud Architect
- Experience building RAG pipelines and integrating LLM-based solutions with enterprise data sources
- Software engineering fundamentals sufficient to build production-quality integrations using Python and/or relevant SDKs
- Experience building evaluation harnesses or test suites for LLM/agent outputs and running regression tests before releases
- Ability to work from a scoped backlog and translate technical requirements into working solutions
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- HSA
- FSA
- Generous earned time off
- 401K/student loan repayment
- Life insurance and AD&D insurance
- Employee assistance program
- Employee stock purchase program
- Tuition reimbursement
- Performance-based incentive pay
- Short-term disability
- Long-term disability
- Robust wellness program