Numentica

SDET

• Design, develop, and maintain automated test scripts using Playwright.
• Build scalable, reusable, and maintainable automation frameworks.
• Perform functional, regression, smoke, end-to-end, integration, and API testing.
• Automate web application test scenarios using JavaScript or TypeScript.
• Validate integration points between applications, services, APIs, and third-party systems.
• Create and execute API test cases using tools such as Postman, Playwright API, REST Assured, or similar tools.
• Verify request/response payloads, status codes, headers, authentication, error handling, and data validation.
• Integrate automation scripts with CI/CD pipelines.
• Convert business requirements into clear test scenarios and automated test cases.
• Log, track, and communicate defects clearly using Jira, Azure DevOps, or similar tools.

QA Automation Engineer

Architect

• Define secure, repeatable AI reference architectures spanning Amazon Bedrock, Amazon Q Business, and Amazon QuickSight as appropriate to the selected use cases.
• Design generative AI patterns, including foundation model selection criteria, prompt and grounding design, RAG pipelines, agentic workflows, and tool/function calling.
• Establish the secure AI foundation: identity, role-based access, encryption, logging, data-boundary controls, and audit patterns, working with the Security Architect.
• Define guardrails, content filtering, prompt-logging policy, human-review patterns, and responsible-AI controls, accounting for data classification and PHI/PII handling.
• Set the model and retrieval evaluation strategy and quality metrics, including citation and grounding expectations, and oversee iterative tuning.
• Produce production-readiness gap analysis and a hardening/productionization roadmap.
• Lead architecture and security review workshops, demos, and enablement office hours with the customer and stakeholders, presenting trade-offs in clear, accessible terms.
• Enable and upskill the customer's engineering teams through paired design work, including spec-driven development and MCP-based workflows.
• Provide technical direction to AI Application Engineers and Data/Search Specialists and produce reusable architecture artifacts, reference patterns, and documentation.

GenAI / Bedrock Architect

Application Engineer

• The AI Application Engineer builds the prototypes, services, workflows, and integrations that bring generative AI use cases to life on AWS.
• This is a hands-on role: the engineer pairs directly with the customer's developers in joint build sessions, turning designs into working software while transferring knowledge so the customer's team becomes self-sufficient.
• The work spans Bedrock applications and agents, enterprise integrations, MCP-based tooling, and spec-driven development.
• Build prototypes and pilot-ready services implementing AI use cases on Amazon Bedrock, including RAG and Bedrock Agents.
• Develop APIs, UI components, and workflow integrations connecting AI capabilities to enterprise applications and data sources.
• Build document intake, classification, and extraction workflows using services such as Amazon Textract and Step Functions where relevant.
• Configure and integrate MCP (Model Context Protocol) servers, and work within Kiro spec-driven development workflows, hooks, and steering rules.
• Implement integrations with the Microsoft 365 ecosystem (SharePoint, Outlook/Exchange, Teams, OneDrive) and delivery/observability tools such as ServiceNow, Jira, GitHub, Dynatrace, or Wiz where approved.
• Pair with customer developers in joint build sessions, demonstrating implementation techniques and helping them become self-sufficient.
• Implement guardrails, evaluation tests, and grounding/citation behavior according to the architect's designs.
• Write clean, tested, documented code following reusable development standards, and contribute reusable templates and playbook material.

AI Application Engineer

Support Engineer

• Bridge business teams and delivery teams for data engineering, analytics, AI, and Power BI work; gather requirements clearly and help keep scope sharp for parallel work streams
• Work directly with business stakeholders to gather, clarify, and document requirements for analytics and data use cases
• Translate business needs into clear inputs for data engineers, AI teams, and Power BI developers
• Validate that delivered outputs match business intent before going back to users
• Help define features and scope so complexity stays controlled and value stays high
• Support milestone-based delivery across multiple parallel workstreams

QA Automation Engineer

GenAI / Bedrock Architect

AI Application Engineer

Technical Business Analyst