Agentic Systems Builder & QA Engineer (GB)

About Us

Foundever ™ is a global leader in the customer experience (CX) industry. With 150,000 associates across the globe, we are the team behind the best experiences for more than 750 of the world's leading and digital-first brands. Our innovative CX solutions, technology, and expertise are designed to support operational needs for our clients and deliver seamless, AI-driven experiences in the moments that matter.

As AI becomes increasingly agentic and autonomous, we are building a platform to orchestrate intelligent workflows that automate complex business processes at scale.

About the role

We are looking for an Agentic Systems Builder & QA Engineer to sit at the intersection of building, testing, and adoption of our agentic systems framework. You will be the first user of the tools we build — stress-testing them, running evaluations, identifying gaps, and feeding insights back to the engineering team.

Beyond QA, you will play a key role in enabling other teams to build with our framework: onboarding them, understanding their use cases, translating their needs into actionable specs, and running discovery to inform the platform roadmap. You will combine hands-on building and testing with product-minded thinking — ensuring that what we ship is not only technically sound but genuinely useful for the teams adopting it.

This role is ideal for someone who enjoys working across boundaries: part builder, part tester, part enabler — with a strong sense for what makes tools intuitive, reliable, and ready for real-world use.

Key responsibilities

Building & Testing

Be the primary hands-on tester of the agentic systems framework — building agents using our tools, identifying bugs, edge cases, and usability issues before other teams encounter them

Run end-to-end evaluations of agentic systems: execute evaluation pipelines, create and curate datasets, analyze results, and report on agent quality and reliability

Build and configure agentic workflows using the framework's interfaces — system prompts, model selection, tool integrations — validating that the developer experience works as intended

Define and execute QA processes for new framework features, integrations, and releases

Adoption & Enablement

Support other technical teams in building agentic systems with our tools — onboarding, troubleshooting, and sharing best practices

Act as the bridge between adopting teams and the engineering team: gather feedback, identify friction points, and advocate for improvements

Create documentation, guides, and examples that help teams get started and build effectively

Discovery & Product

Run discovery with internal teams to understand their use cases, pain points, and requirements for agentic systems

Translate user needs into clear specs and requirements that the engineering team can act on

Help prioritize framework improvements based on real adoption feedback and observed usage patterns

Contribute to roadmap discussions with a grounded perspective on what teams actually need

Evaluation & Quality

Execute and refine evaluation workflows — running experiments, comparing agent configurations, and reporting on metrics

Help define what "good" looks like for agent behavior in different use cases

Flag quality issues, regressions, and drift in deployed agentic systems

Skills / Abilities / Knowledge

Experience

3+ years in a role combining development, QA, testing, or technical product work

Experience building or configuring AI/ML-powered systems or applications

Experience working directly with end users or internal teams to gather requirements and feedback

Some exposure to product management practices: discovery, spec writing, prioritization

Required

Comfort working with APIs, configuration interfaces, and developer tooling

Understanding of LLMs and how they are integrated into applications (prompting, tool calling, structured outputs)

Strong analytical and communication skills — able to clearly articulate issues, feedback, and requirements

Detail-oriented with a quality-first mindset

Comfortable in Agile, fast-paced environments with evolving scope

Nice to have

Experience with agentic systems or agent orchestration frameworks (LangGraph, LangChain, or similar)

Experience with observability or evaluation tooling (LangFuse or similar)

Experience with MCP Servers/Clients

Background in QA engineering or test automation

Experience with testing methodologies — manual and/or automated, ideally for AI or non-deterministic systems

Experience in a product management or technical product owner role

Development skills in Python

Familiarity with vector databases, RAG pipelines, or NLP

Experience writing technical documentation or developer guides

Education

Bachelor's degree or higher in Computer Science, Engineering, or a related field — or equivalent practical experience.

Languages

Excellent written and conversational English (C1 minimum)

French and Spanish are a plus

Tools & Technologies

LangGraph · LangFuse · MCP Clients & Servers · Python · GitLab · Cursor

Our Offer

Impactful work. Opportunity to work on cutting-edge AI technologies that will be game changers for our business.

Professional growth. Continuous learning and development opportunities in a dynamic, remote work environment.

Competitive compensation. Attractive salary and benefits package.

Collaborative environment. A supportive team culture with opportunities for occasional travel for training and industry events.

Originally posted on Himalayas