Ai Engineer

MySQL CI/CD OAuth Github OpenAI Argo CD FastAPI Equities BigQuery Recharts Budgeting Marketing AI Agents Vertex AI Claude AI Operations Management TypeScript Salesforce Kubernetes PostgreSQL Smartsheet SQLAlchemy Agentic AI Scalability Material-UI Claude Code Communication Observability Google Gemini Docker Compose GitHub Copilot Authentications Docker (Software) Solutions Support Few Shot Learning AI-Generated Code Business Valuation Data Visualization Query Optimization Prompt Engineering Workflow Management Campaign Management Software Development JSON Web Token (JWT) Full Stack Development Salesforce Sales Cloud Artificial Intelligence Application Development Business Transformation Software Design Patterns Lightning Web Components Authorization (Computing) Object-Relational Mapping D3.js (Javascript Library) Google Cloud Platform (GCP) Git (Version Control System) React.js (Javascript Library) Python (Programming Language) Alembic (Data Migration Tool) Enterprise Application Software Role-Based Access Control (RBAC) Troubleshooting (Problem Solving) Generative Artificial Intelligence Application Programming Interface (API) Applications Of Artificial Intelligence $166,400 - $176,800 / yr Posted yesterday, Design, develop, and maintain an enterprise platform for building, deploying, and supporting AI agents within a Google Cloud environment.

Develop and implement AI agents that support business and marketing workflows, including campaign management, budgeting, advertising spend, reporting, and brand performance.

Integrate AI agents with enterprise applications and data sources including Salesforce, Sigma, Adobe, Smartsheet, and other marketing platforms.

Develop agent capabilities within Salesforce and the existing brand portal environment, leveraging Salesforce Sales Cloud, Lightning Web Components (LWC), APIs, and existing integrations.

Build and maintain agentic AI workflows using Generative AI technologies, including LLM orchestration, prompt engineering, RAG, tool/API calling, structured outputs, and multi-step agent workflows.

Leverage Google Cloud and Vertex AI services to develop, deploy, and support enterprise AI applications and agent capabilities.

Use AI coding assistants, particularly Claude Code, to accelerate software development while reviewing, validating, troubleshooting, and improving AI-generated code to ensure quality and accuracy.

Develop and support backend services and APIs using Python and technologies such as FastAPI to enable communication between AI agents, enterprise applications, and business data sources.

Evaluate and troubleshoot agent behavior, application integrations, and production issues across the AI platform and connected enterprise systems.

Implement monitoring and observability for AI applications, including agent performance, traces, errors, token usage, system performance, and cost.

Collaborate with product teams, architects, solution engineers, and business stakeholders to translate marketing and brand requirements into scalable agentic AI solutions.

Support the deployment, ongoing maintenance, optimization, and operational readiness of AI agents and the underlying agent platform.

Provide technical guidance on agent development, AI-assisted software development, integration patterns, and GenAI development best practices

AI Coding Assistants (e.g., Claude Code, GitHub Copilot, Cursor, Windsurf)

Generative AI Application Development/Generative AI Design Patterns

GenAI cloud platforms (Google Cloud Vertex AI, Gemini, Anthropic Claude, OpenAI)

LLM Observability and Tracing (LangFuse, LangSmith, or similar)

Prompt Engineering techniques (e.g., chain-of-thought, few-shot learning, structured outputs)

Python, FastAPI, async programming, Pydantic, SQLAlchemy ORM React, TypeScript, Zustand state management, Material-UI (MUI) Data visualization libraries (Recharts, D3.js)

MySQL/PostgreSQL databases, query optimization, Alembic migrations Git, CI/CD, GitHub Actions, ArgoCD Docker and docker-compose Google Cloud Platform (Vertex AI, Cloud Run, BigQuery, Cloud Storage, IAM)

Authentication and Authorization (OAuth 2.0, Okta, JWT, RBAC)

Kubernetes and container orchestration, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company., Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.