Job Description
Job Title: Senior Agentic AI Engineer Google ADK / Gemini / GCP
Work Location: Richardson, TX 75082
**hybrid work set-up**
Must Have Skills:
Agentic AI Google ADK, Gemini & Google Cloud
Good Communication Skill
Good Technical Skill
Nice to have skills:
Agentic AI Google ADK,
Gemini & Google Cloud
Detailed Job Description:
We are seeking a skilled Senior Engineer - Agentic AI with hands-on expertise in Google Agent Development Kit (ADK), Gemini models, and Google Cloud Platform. The successful candidate will build reliable agentic solutions that translate business requirements into scalable, secure, observable, and maintainable production systems.
The role combines strong software engineering, agent architecture, evaluation, cloud deployment, and technical leadership. The engineer will own the end-to-end agent lifecycle, from use-case discovery and design through production operations, feedback-driven enhancement, and governance.
Key Responsibilities
Agent Development & Engineering
Gemini & Generative AI Engineering
Cloud & Platform Engineering
Technical Leadership & Collaboration
Preferred Skills
Success Measures
Key Competencies
Minimum years of experience
5-8 years
Certifications Needed :No
Interview Process (face to face required)
Yes
Work Location: Richardson, TX 75082
**hybrid work set-up**
Must Have Skills:
Agentic AI Google ADK, Gemini & Google Cloud
Good Communication Skill
Good Technical Skill
Nice to have skills:
Agentic AI Google ADK,
Gemini & Google Cloud
Detailed Job Description:
We are seeking a skilled Senior Engineer - Agentic AI with hands-on expertise in Google Agent Development Kit (ADK), Gemini models, and Google Cloud Platform. The successful candidate will build reliable agentic solutions that translate business requirements into scalable, secure, observable, and maintainable production systems.
The role combines strong software engineering, agent architecture, evaluation, cloud deployment, and technical leadership. The engineer will own the end-to-end agent lifecycle, from use-case discovery and design through production operations, feedback-driven enhancement, and governance.
Key Responsibilities
Agent Development & Engineering
- Design, develop, test, and deploy AI agents using Google ADK.
- Build single-agent and multi-agent systems for reasoning, planning, task execution, collaboration, and delegation.
- Develop custom tools, function-calling interfaces, workflow agents, and integrations with enterprise APIs, databases, SaaS platforms, and internal systems.
- Implement memory, session and state management, context management, retrieval-augmented generation (RAG), and knowledge-grounding patterns.
- Apply deterministic workflows and dynamic agent orchestration patterns based on solution needs.
- Own the agent lifecycle from ideation, prototyping, and validation through release, production operation, retirement, and replacement.
- Define versioning, configuration, release, rollback, and environment-promotion practices for agents, prompts, tools, policies, and models.
- Establish observability using structured logs, traces, metrics, execution trajectories, and error analysis.
- Implement security, access control, data protection, governance, and responsible AI controls.
- Improve reliability, scalability, resilience, latency, throughput, and cost efficiency in production.
- Design automated and human-in-the-loop evaluation frameworks covering task success, accuracy, groundedness, response quality, safety, tool-use effectiveness, latency, and cost.
- Create benchmark datasets, test scenarios, regression suites, and release quality gates.
- Analyze agent behavior, failed trajectories, user feedback, and production telemetry to identify improvement opportunities.
- Iterate on instructions, prompts, model selection, tool design, routing, context strategies, and orchestration.
- Run controlled experiments and document measurable quality improvements.
Gemini & Generative AI Engineering
- Use Gemini models for reasoning, structured generation, code assistance, summarization, tool calling, and multimodal use cases.
- Apply prompt engineering, structured outputs, grounding, safety controls, token and context optimization, and model-selection strategies.
- Balance solution quality, latency, reliability, and cost across model and architecture choices.
Cloud & Platform Engineering
- Deploy and operate agents on GCP using appropriate services such as Vertex AI, Agent Runtime, Cloud Run, Google Kubernetes Engine, Cloud Functions, BigQuery, Pub/Sub, Cloud Storage, Cloud Monitoring, and Cloud Logging.
- Implement CI/CD, infrastructure as code, automated testing, secrets management, IAM, and environment controls.
- Apply AgentOps, LLMOps, MLOps, SRE, and cloud-native engineering practices to production AI systems.
Technical Leadership & Collaboration
- Lead design reviews and establish reusable engineering standards and reference patterns.
- Mentor engineers on ADK, Gemini, GCP, agent evaluation, AgentOps, and responsible AI practices.
- Collaborate with product managers, architects, data scientists, security teams, and business stakeholders.
- Communicate technical trade-offs, risks, dependencies, and outcomes to both technical and non-technical audiences.
Preferred Skills
- RAG architectures, semantic search, embeddings, vector databases, Vertex AI Vector Search, and knowledge graphs.
- Model Context Protocol (ClientP) and secure tool or connector integration patterns.
- Experience with complementary agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies.
- Human-in-the-loop and approval-based workflows for high-impact actions.
- Terraform or equivalent infrastructure-as-code tooling.
- Responsible AI, privacy, threat modeling, prompt-injection defense, content safety, and AI governance.
- Integration experience with enterprise platforms such as CRM, ERP, ITSM, collaboration, workflow, and data platforms.
Success Measures
- Delivery of reliable, secure, and maintainable agents that meet defined business and technical requirements.
- Measurable improvement in agent task success, groundedness, response quality, reliability, latency, and cost.
- Effective production monitoring, incident reduction, controlled releases, and rapid root-cause analysis.
- Reusable engineering patterns, strong documentation, and increased team capability through mentoring.
- Positive stakeholder outcomes and clear alignment between agent capabilities and business value.
Key Competencies
- Systems thinking and solution architecture
- Strong analytical and problem-solving ability
- Experimentation and evidence-based improvement
- Technical ownership and engineering discipline
- Clear communication and stakeholder management
- Mentoring, collaboration, and influence
- Customer focus and responsible innovation
Minimum years of experience
5-8 years
Certifications Needed :No
Interview Process (face to face required)
Yes
Numbers & Facts
| Location | Richardson, TX |
| Industry | Other/Not Classified |
| Company Size | 100 to 499 employees |
| Year Founded | 1998 |
| Website | www.eteaminc.com |
About Company
Looking for a great job? Join eTeam. We’re looking for talented staffing professionals to join our staff. We also provide contract assignments and full-time jobs at Fortune 2000 Companies. We’ve been named one of the best companies to work for by Staffing Industry Analysts and New Jersey Business.
Skills
- Access Controlunmatched
- Analysis Skillsunmatched
- Application Programming Interface (API)unmatched
- Architectural Analysisunmatched
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Agentsunmatched
- Benchmarkingunmatched
- Cloud Computingunmatched
- Cloud Storageunmatched
- Communication Skillsunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Improvementunmatched
- Continuous Integrationunmatched
- Cost Modelingunmatched
- Customer Relationsunmatched
- Customer Relationship Management (CRM)unmatched
- Customer/Client Researchunmatched
- Data Scienceunmatched
- Data Setsunmatched
- Document Managementunmatched
- Documentationunmatched
- ERP (Enterprise Resource Planning)unmatched
- GCP (Good Clinical Practices)unmatched
- Green Businessunmatched
- IT Service Management (ITSM)unmatched
- Information/Data Security (InfoSec)unmatched
- Injectionsunmatched
- Machine Toolunmatched
- Memory Hardwareunmatched
- Mentoringunmatched
- Metricsunmatched
- Problem Solving Skillsunmatched
- Production Controlunmatched
- Production Costingunmatched
- Production Systemsunmatched
- Prototypingunmatched
- Quality Metricsunmatched
- Regression Testingunmatched
- Reliability Engineeringunmatched
- Requirements Managementunmatched
- Root Cause Analysisunmatched
- Safety/Work Safetyunmatched
- Semantic Searchunmatched
- Software Engineeringunmatched
- Software as a Service (SaaS)unmatched
- Technical Leadershipunmatched
- Telemetryunmatched
- Test Automationunmatched
- Test Plan/Scheduleunmatched
- Test Scenariounmatched
- Threat Modelingunmatched
- Use Casesunmatched
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