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# Ai Engineer

- **Company:** TEKSYSTEMS INC.
- **Location:** San Francisco, CA, United States (Remote available)
- **Salary:** $166,400.0 - $176,800.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, User Authentication, BigQuery, Cloud Storage, Code Generation, Computer Programming, Continuous Integration, D3.Js, Data Migration, Data Visualization, Cursor, Software Design Patterns, Github, Monitoring of Systems, Identity and Access Management, JavaScript Libraries, Python (Programming Language), PostgreSQL, Automation of Marketing, MySQL, Object-Relational Mapping, OAuth, Octopus Deploy, Query Optimization, Role-Based Access Control, OpenAI, JSON Web Token, Salesforce.Com, Software Engineering, SQLAlchemy, TypeScript, Smartsheet, Google Cloud, Enterprise Software Applications, Okta, GitHub Copilot, ReactJS, Retrieval-Augmented Generation, Large Language Models, Claude Code, Prompt Engineering, Generative AI, AI Coding Agents, Backend, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Git, Fastapi, Salesforce Sales Cloud, Adobe, AI Platforms, Few-Shot Learning, LangSmith, Kubernetes, Google Cloud Functions, React Redux, Claude, Google Gemini, Software Version Control, Docker
- **Published:** October 20, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/ca/san-francisco/d5514864-3b1b-49dc-9171-95a5dd0308b9

## About the Role

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.

## Description

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