The posting
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.
- Deliver in small increments, communicate estimates and risks early, and apply secure handling of credentials, enterprise data, and tool permissions.
What You Bring/Qualifications:
- 4–6 years of relevant software engineering or test automation engineering experience, including delivery in a SaaS product organisation.
- Strong Python programming skills, including API integration, asynchronous programming, debugging, modular design, automated testing, Git, and code review.
- Hands-on experience building, deploying, and maintaining LLM-based AI agents with tool integrations, workflow orchestration, failure handling, and evaluation.
- Practical test automation experience with Playwright, Python, and PyTest, including fixtures, stable locators, reliable waits, test data, UI and API validation, and CI execution.
- Hands-on MCP integration experience, with an understanding of tool schemas, authentication, permissions, error handling, and execution boundaries.
- Practical RAG implementation experience and working knowledge of knowledge graphs, entity and relationship modelling, and graph-based retrieval.
- Experience deploying and supporting services using containers and CI/CD, with working knowledge of cloud environments, secrets management, configuration, and observability.
- Evidence of delivering under tight deadlines, taking ownership of unfamiliar systems, balancing support with planned work, and collaborating directly with QE and engineering teams.
Preferred experience
Experience maintaining automation frameworks, reducing flaky tests, modernising legacy automation, or using agents to convert manual scenarios into reliable automated tests. Familiarity with vector or hybrid search, graph databases, agent orchestration and evaluation tools, or Kubernetes is an advantage.
Why AppViewX?
AppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. Over the years, we grew our diverse team, perfected our automation platform, and expanded our global footprint to India, North America, United Kingdom, and Australia. Today, we are headquartered in New York City and have come a long way by optimizing opportunities to create lasting relationships with enterprises, gaining unshakable customer trust along the way.
AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.
