Experience: 4–6 years

About AppViewX:

AppViewX is the only machine and agent identity security company built for the AI and quantum era, bringing together discovery, automation, control, and intelligence. The AVX Platform helps enterprises reduce risk by providing complete visibility and governance over every machine and AI agent identity, automating their lifecycle, controlling their access, and proving compliance at the speed business demands. Trusted by global enterprises across financial services, healthcare, and technology, AppViewX is recognized as a leader in the IDC 2026 MarketScape for Certificate Lifecycle Management and KuppingerCole’s 2025 Non-Human Identity Management Leadership Compass. For more information, users can visit appviewx.com.

Our Values

Our values define how we work, make decisions, and deliver for our customers and each other. Some reflect strengths deeply engrained in how we work. Others represent the standards we are committed to building together.

We Do What We Say: We own our commitments, communicate honestly about progress, and measure success by results, not activity.
We Are Trusted Experts: We continuously build our expertise, offer candid guidance, and focus on the outcomes our customers and colleagues need.
We Raise the Bar: We stay curious, challenge the status quo, take smart risks, and turn better ideas into meaningful results.
We Win Together: We share information, debate openly, commit together, and recognize that our success is connected to the success of our customers and teammates.

If these values reflect how you want to work and contribute, you will find an opportunity to make a meaningful impact at AppViewX.

Role Overview:

We are looking for a hands-on Senior Engineer SDET to design, develop, test, deploy, and maintain AI agents and supporting services for Quality Engineering. You will inherit existing agents, understand their behavior and limitations, resolve defects, refactor and evolve their implementation, and build new agents.

Your initial focus will combine evolving our AI agents, retrieval-augmented generation (RAG), and knowledge graph solutions with supporting QE teams in their AI initiatives. You will also deliver priority automation backlog items using test agents built on our Python, PyTest, and Playwright framework. The role requires dependable delivery against tight timelines in a fast-paced SaaS product organization.

Key Responsibilities:

Own assigned agents and services through requirements, design, development, testing, deployment, monitoring, maintenance, and operational support.
Take over existing codebases, prompts, tool integrations, and data pipelines. Diagnose failures, add regression tests, and refactor incrementally while preserving working capabilities.
Build and improve agents for test authoring, review, execution, and failure analysis using tool calling, structured outputs, workflow state, bounded retries, and human review where required.
Develop and integrate Model Context Protocol (MCP) clients, servers, and tools to connect agents with Playwright automation, approved knowledge sources, and engineering workflows.
Deliver maintainable UI and API automation against the agreed backlog using Python, PyTest, and Playwright. Review and correct agent-generated tests for scenario coverage, meaningful assertions, and independent execution.
Evolve RAG ingestion, chunking, metadata, retrieval, and source attribution. Support knowledge graph modelling, ingestion, entity and relationship maintenance, and retrieval integration.
Test agent behavior and output quality using representative evaluation cases. Track task completion, retrieval relevance, unsupported responses, and regressions after model, prompt, or tool changes.
Integrate agents and automation suites with CI/CD and scheduled execution. Use logs, traces, screenshots, test results, latency, and model cost data to investigate failures and improve reliability.
Partner with QE engineers to clarify scenarios, prepare test data, remove automation blockers, and support adoption through documentation, demonstrations, and troubleshooting.