Staff AI Engineer

About the role

• About Our Client:

The organization operates in the observability platform space, providing a fully managed solution used by over 10,000 organizations to enhance system reliability, accelerate incident resolution, and optimize telemetry at scale. Built on open source and open standards, the platform supports interoperability across diverse technology stacks and integrates AI capabilities to deliver unified data visibility. The organization serves major customers including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, and supports a fully remote workforce distributed across more than 40 countries.

• About the Opportunity:

The Staff Engineer (AI & Automation) is responsible for leading the development and technical direction of AI agent infrastructure and automation systems that support the Marketing Operations organization. This role focuses on designing and delivering scalable AI-driven solutions to automate workflows across multiple teams, improving operational efficiency and enabling self-service capabilities. It involves building production-grade multi-agent AI architectures and backend services that connect AI models to various data platforms and business systems.

• Responsibilities:

Develop and maintain multi-agent AI systems from design through deployment and operation

Create modular agentic components using orchestration frameworks that function continuously across teams

Build reusable AI agent skills accessible via multiple interfaces such as Slack and internal applications

Implement observability features including logging, performance tracking, prompt refinement, and cost monitoring

Establish governance standards covering access control, audit trails, PII handling, and human oversight

Develop backend services including APIs and microservices integrating AI models with business platforms like BigQuery and CRMs

Architect data flows for retrieval-augmented generation connecting language models to knowledge bases and real-time data

Deploy scalable serverless or containerized services within cloud infrastructure

Collaborate with operational teams to identify automation opportunities and develop measurable solutions

Design workflows using orchestration tools with attention to CI/CD, testing, and production stability

Create documentation and enablement materials to support partner teams in operating systems independently

• Requirements:

Minimum 8 years in software engineering with backend development, systems integration, or data engineering experience

At least 2 years applying large language models and AI in production settings

Proficient in Python and JavaScript/Node.js, with experience in Git workflows and testing

Knowledge of LLM frameworks, prompt engineering, retrieval-augmented generation, and evaluation methods

Experience building and operating multi-agent AI systems including orchestration and state management

Ability to analyze business problems and design outcome-focused workflows

Familiarity with Google Cloud Platform services such as BigQuery, Cloud Functions, and Cloud Run

Understanding of LLM failure modes and mitigation strategies including human escalation and cost management

Skilled in AI-assisted development tools

Effective communicator capable of explaining complex technical concepts to diverse audiences

• Pay Range and Compensation Package:

The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.