ai automation engineer

UNIS

<div>Description:

Location: Joliet, IL (Onsite) 
Employment Type: Full-Time
***MUST SPEAK SPANISH*** 
We are seeking an AI Inventory Support Specialist to develop, deploy, and support AI-powered solutions that improve inventory operations and business processes. This is a hands-on technical role for someone who is passionate about AI automation, full-stack development, and rapidly deploying production-ready solutions.
This is not an entry-level position. Candidates must have real-world experience building and deploying AI applications and automations.<h3 class="jobSectionHeader"> 
What You'll Do</h3><ul><li>
Design, build, and deploy AI-powered tools that improve inventory and operational workflows.</li><li>
Develop AI automations, agents, and integrations using modern AI platforms.</li><li>
Work with business stakeholders to identify manual processes and replace them with AI-driven solutions.</li><li>
Build and maintain full-stack applications that integrate AI models into business operations.</li><li>
Test, troubleshoot, and continuously improve deployed AI solutions.</li><li>
Stay current with emerging AI technologies and recommend new tools and capabilities.</li></ul> 
Requirements:
<h3 class="jobSectionHeader">Required Qualifications</h3><ul><li>
Minimum 1 year of hands-on experience building and deploying AI automation solutions (no entry-level candidates).</li><li>
Bachelor's degree in Computer Science or a related field.</li><li>
Full-stack development experience strongly preferred.</li><li>
Demonstrated proficiency with Claude, OpenAI Codex, GitHub Copilot, and other leading AI development tools.</li><li>
Experience deploying AI applications into production environments.</li><li>
Strong programming and problem-solving skills.</li><li>
Ability to work onsite in Joliet, IL area.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience building AI agents, AI workflows, and automation pipelines.</li><li>
Familiarity with modern development frameworks, APIs, and cloud deployment.</li><li>
Experience using AI-assisted coding tools to accelerate software development.</li><li>
Passion for learning and adopting emerging AI technologies.</li></ul><h3 class="jobSectionHeader">
Why Join Us?</h3><ul><li>
Work on cutting-edge AI initiatives with real business impact.</li><li>
Collaborate with a fast-moving, AI-first technology team.</li><li>
Opportunity to build and deploy innovative solutions that transform business operations.</li><li>
Competitive compensation and opportunities for professional growth.</li></ul>
If you're an experienced AI developer who enjoys building, deploying, and improving intelligent business solutions, we'd love to hear from you.
BENEFITS<ul><li>
Medical insurance</li><li>
Dental insurance</li><li>
Vision insurance</li><li>
Paid Time Off</li></ul>
#ZR</div>

AI Inventory Support Specialist - Spanish Speaking

IT America Inc

Data Engineer (Databricks)Azure Databricks EnvironmentAustin, TX - HybridGeneral InformationDescription:The Databricks Data and AI Agent Automation Engineer is responsible for designing, developing, and deploying intelligent agents that automate data engineering development (dev) and quality assurance (QA) tasks within the Azure Databricks environment. This role bridges software engineering and data platform operations, leveraging AI/ML capabilities, prompt engineering, and low-code/no-code automation frameworks to accelerate platform development cycles, reduce manual toil, and improve code quality. The engineer will work closely with the Data Platform team to build, test, and operationalize agents that enhance developer productivity, streamline CI/CD pipelines, and automate governance and compliance checks.Responsibilities&middot; Design and implement intelligent agents (LLM-powered, rule-based, or hybrid) that automate data engineering workflows in Azure Databricks&middot; Develop agents for automated code generation, refactoring, and optimization of PySpark and SQL workloads&middot; Build agents that automate data quality validation, testing, and reconciliation tasks in dev and QA environments&middot; Create agents for metadata management, lineage tracking, and governance automation within Databricks&middot; Develop autonomous CI/CD pipeline tasks, including automated test case generation, deployment validation, and rollback logic&middot; Implement agents that perform intelligent monitoring, anomaly detection, and root-cause analysis for data pipelines&middot; Build prompt engineering frameworks and agent orchestration patterns tailored to data engineering use cases&middot; Collaborate with data engineers and architects to identify high-impact automation opportunities and prioritize agent development roadmap&middot; Establish best practices for agent development, testing, deployment, and observability within Azure Databricks&middot; Document agent workflows, decision logic, and operational runbooks for team knowledge sharing&middot; Evaluate emerging AI/agent frameworks and technologies; recommend adoption where applicableJob RequirementsEducation&middot; Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field (Master's preferred)Experience&middot; 5+ years of data engineering or software engineering experience, with hands-on work in cloud data platforms (Databricks, Snowflake, Azure)&middot; Proven experience developing automation solutions, agents, or AI-powered tools (e.g., using LLMs, prompt engineering, or orchestration frameworks like Databricks Agent Framework (or LangChain, AutoGen)&middot; Strong proficiency in Python and SQL with focus on production-grade code quality&middot; Demonstrated experience with Azure Databricks (notebooks, jobs, workflows, DLT) or equivalent modern data platforms&middot; Hands-on experience with CI/CD/CT tools (GitHub Actions, Azure DevOps Pipelines) and automation frameworks&middot; Experience building data quality frameworks, testing patterns, or QA automation&middot; Prior work in regulated or risk-sensitive environments preferredSkills &amp; Competencies&middot; Expert-level Python programming with strong software engineering practices (testing, documentation, version control)&middot; Strong SQL and PySpark optimization skills&middot; Hands-on experience with LLM APIs, prompt engineering, and AI agent frameworks (e.g., Databricks Agent Bricks, LangChain, OpenAI, Azure OpenAI)&middot; Proficiency in Azure Databricks, including Delta Lake, workflows, and Databricks Asset Bundles&middot; Experience designing and implementing automation workflows using orchestration tools or serverless platforms&middot; Strong problem-solving and systems thinking skills; ability to decompose complex workflows into automatable components&middot; Excellent communication and documentation skills; ability to articulate technical concepts and agent design rationale&middot; Self-directed learner with curiosity about emerging AI/automation technologies&middot; Ability to collaborate effectively with cross-functional teams (data engineers, architects, QA, operations)Pay: $65.00 - $70.00 per hourWork Location: Hybrid remote in Austin, TX 78701

Azure Data Engineer

Coforge

AI Engineer -Practitioners who build and deploy AI models and agentic workflows in production, including prompt engineering, fine-tuning, RAG pipelines, and AI-infused application development. These individuals design, develop, customize, and implement AI solutions for others to use. Technology - Java, Frontend and QE (Playwright).
 We are seeking an experiencedAI Engineer to design, develop, and deploy AI-powered applications and agentic workflows into production environments. The ideal candidate will have hands-on expertise in building AI solutions using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, AI orchestration frameworks, and modern application development practices.
 This role requires a combination ofAI engineering, Java development, Frontend development, and Quality Engineering (Playwright) to deliver scalable, reliable, and enterprise-grade AI solutions.
 
Key Responsibilities
 
AI Solution Development
 
<ul>
<li>Design, develop, and deploy AI-powered applications using modern LLM technologies.</li>
<li>Build and implement agentic workflows leveraging AI agents, orchestration frameworks, and automation platforms.</li>
<li>Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.</li>
<li>Perform prompt engineering, prompt optimization, and model evaluation to improve AI solution accuracy and reliability.</li>
<li>Fine-tune foundation models where applicable to meet business-specific requirements.</li>
<li>Integrate AI capabilities into existing enterprise applications and platforms.</li>
<li>Monitor, optimize, and maintain AI systems in production environments.</li>
</ul>
Application Development
 
<ul>
<li>Develop backend services and APIs using Java-based frameworks.</li>
<li>Build responsive and scalable frontend applications to deliver AI-driven user experiences.</li>
<li>Collaborate with architects, product owners, and business stakeholders to translate requirements into technical solutions.</li>
<li>Implement integrations with internal and external systems through APIs and microservices.</li>
</ul>
Quality Engineering Testing
 
<ul>
<li>Develop automated test strategies for AI-enabled applications.</li>
<li>Design and execute UI and API automation using Playwright.</li>
<li>Validate AI outputs through functional, regression, and performance testing.</li>
<li>Establish test frameworks and quality gates for AI solutions deployed in production.</li>
<li>Ensure security, performance, and reliability standards are met.</li>
</ul>
Collaboration Innovation
 
<ul>
<li>Work closely with AI Architects, Data Scientists, Product Teams, and Business SMEs.</li>
<li>Stay current with emerging AI technologies, frameworks, and industry best practices.</li>
<li>Contribute to AI governance, responsible AI practices, and solution documentation.</li>
</ul>
Required Skills
 
AI GenAI
 
<ul>
<li>Prompt Engineering</li>
<li>Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.)</li>
<li>Agentic AI Frameworks</li>
<li>Retrieval-Augmented Generation (RAG)</li>
<li>Vector Databases</li>
<li>Model Evaluation and Optimization</li>
<li>Fine-tuning Concepts</li>
<li>AI Application Development</li>
<li>AI Orchestration Frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, etc.)</li>
</ul>
Backend Development
 
<ul>
<li>Java 8+/11+/17+</li>
<li>Spring Boot</li>
<li>REST APIs Microservices Architecture</li>
<li>API Integration</li>
</ul>
Frontend Development
 
<ul>
<li>React.js / Angular / Modern JavaScript Frameworks</li>
<li>HTML5, CSS3, JavaScript, TypeScript</li>
</ul>
Quality Engineering
 
<ul>
<li>Playwright Automation</li>
<li>API Testing</li>
<li>Test Automation Framework Design</li>
<li>Functional Regression Testing</li>
<li>CI/CD Testing Practices</li>
</ul>
Cloud DevOps
 
<ul>
<li>Azure / AWS / GCP</li>
<li>Docker Kubernetes</li>
<li>CI/CD Pipelines</li>
<li>Git, GitHub, Azure DevOps</li>
</ul>

AI Engineer

Kentan Staffing Solutions

<div><div><h1 class="jobSectionHeader">Founding Software Engineer
</h1>Location: New York, NY (Onsite)
Employment Type: Full-Time | Direct Hire
Compensation: $200,000&ndash;$220,000 Base Salary + Equity (Competitive Benefits)
Interview Process: 3 Interviews
<h2 class="jobSectionHeader">Position Overview
</h2>Our client, a rapidly growing AI startup revolutionizing the insurance industry, is seeking a Founding Software Engineer to join its core Engineering team. This is a unique opportunity to become an early engineering hire, helping build the platform that powers enterprise AI agents used by some of the world's largest insurance carriers.
This role is ideal for an experienced software engineer who thrives in early-stage startup environments and enjoys solving complex distributed systems challenges. You'll play a foundational role in designing scalable infrastructure, developing AI-powered platforms, and building the engineering systems that enable rapid product innovation.
The ideal candidate is highly autonomous, technically exceptional, and excited by the opportunity to own critical systems from architecture through production. Culture fit is extremely important&mdash;the team values individuals who are personable, collaborative, scrappy, and capable of moving quickly with minimal direction.
<h2 class="jobSectionHeader">Key Responsibilities
</h2><ul><li>Design, build, and maintain the core platform powering AI agents across the organization.
</li><li>Develop highly scalable backend services and infrastructure using TypeScript, SQL, and modern cloud technologies.
</li><li>Build and optimize agent orchestration, execution platforms, and developer tooling.
</li><li>Design resilient distributed systems with fault tolerance, observability, retries, and graceful degradation.
</li><li>Develop internal platforms that improve engineering productivity, CI/CD pipelines, and automation workflows.
</li><li>Partner closely with Forward Deployed Engineers to rapidly transform customer feedback into production-ready features.
</li><li>Write technical specifications, review architecture, and deliver high-quality production code.
</li><li>Improve platform reliability, performance, security, and scalability while supporting rapid company growth.
</li><li>Contribute to engineering best practices, code reviews, and long-term platform strategy.
</li></ul><h2 class="jobSectionHeader">Required Qualifications
</h2><ul><li>4+ years of experience building production software in a Software Engineer, Backend Engineer, or Platform Engineer role.
</li><li>Strong programming experience with TypeScript and SQL .
</li><li>Experience designing and building scalable backend systems and distributed applications.
</li><li>Strong understanding of system architecture, APIs, databases, and cloud infrastructure.
</li><li>Experience building highly reliable systems with monitoring, observability, retries, circuit breakers, and fault tolerance.
</li><li>Experience working in regulated or security-conscious environments with strong auditing and compliance requirements.
</li><li>Self-starter with exceptional problem-solving skills and the ability to work independently in a fast-paced startup environment.
</li><li>Must be located in or willing to relocate to New York City.
</li></ul><h2 class="jobSectionHeader">Preferred Qualifications
</h2><ul><li>Experience building AI, LLM, or agent-based platforms.
</li><li>Experience with developer platforms, CI/CD automation, and internal engineering tooling.
</li><li>Background building high-performance distributed systems or infrastructure platforms.
</li><li>Experience working in high-growth startups or founding engineering teams.
</li><li>Familiarity with cloud-native architecture, containerization, and modern DevOps practices.
</li></ul><h2 class="jobSectionHeader">What We're Looking For
</h2><ul><li>Highly autonomous engineer who takes full ownership from concept to production.
</li><li>Scrappy, resourceful, and thrives in ambiguous, fast-moving environments.
</li><li>Strong technical leader with a builder's mindset and passion for creating scalable systems.
</li><li>Collaborative team player who enjoys working closely with product, engineering, and customer-facing teams.
</li><li>Passionate about leveraging AI to solve complex, real-world business challenges.
</li></ul>This is an exceptional opportunity to join a venture-backed AI startup at an early stage, working alongside an elite engineering team to build the next generation of autonomous AI systems while making a significant impact on both the product and the future direction of the company.</div></div>

Founding Software Engineer

Cvent

<div>Overview:

Our Culture and Impact
Cvent is a leading meetings, events, and hospitality technology provider with more than 5,500+ employees and ~30,000 customers worldwide, including 60% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. Our technology brings millions of people together at events around the world. In short, we&rsquo;re transforming the meetings and events industry through innovative technology that powers the human connection.
Cvent's strength lies in its people, fostering a culture where everyone is encouraged to think like entrepreneurs, taking risks and making decisions confidently. We value diverse perspectives and celebrate differences, working together with colleagues and clients to build strong connections.
AI at Cvent: Leading the Future
Are you ready to shape the future of work at the intersection of human expertise and AI innovation? At Cvent, we&rsquo;re committed to continuous learning and adaptation&mdash;AI isn&rsquo;t just a tool for us, it&rsquo;s part of our DNA. We&rsquo;re looking for candidates who are eager to evolve alongside technology. If you love to experiment boldly, share your discoveries, and help define best practices for AI-augmented work, you&rsquo;ll thrive here. Our team values professionals who thoughtfully integrate AI into their daily work, delivering exceptional results while relying on the human judgment and creativity that drive real innovation.
Throughout our interview process, you&rsquo;ll have the chance to demonstrate how you use AI to learn, iterate, and amplify your impact. If you&rsquo;re excited to be part of a team that&rsquo;s leading the way in AI-powered collaboration, we&rsquo;d love to meet you. 
We're seeking a senior, builder-minded Application Security Engineer who can go deep on hard technical problems while setting the direction for how AI reshapes a security program. This isn't someone who just uses AI tooling &mdash; it's someone who architects it: agentic systems that automate threat modeling end to end, AI-assisted vulnerability management, and self-serve security capabilities that change how an engineering org works. The ideal candidate is equally credible doing a rigorous design review, writing the automation that scales it, and communicating the resulting risk decisions to leadership. This role owns product security for the teams it partners with &mdash; they look to this person as the accountable security voice for their roadmap.
In This Role, You Will::
<ul><li>Architect and own AI-first security automation &mdash; design agentic systems and skills that take security work from intake (e.g., a Jira epic or design doc) through analysis to logged risk and published findings, with minimal manual handoff.</li><li>
Lead the development of security agents and AI tooling &mdash; define the architecture for LLM-integrated workflows (via APIs and MCP connectors), set patterns for tool/function design, and decide build-vs-buy across the toolchain.</li><li>
Drive AI-assisted threat modeling at scale &mdash; benchmark custom solutions against off-the-shelf agents, embed methodologies (STRIDE, PASTA, LINDDUN, MITRE ATT&amp;CK) into automation, and make pentest scoping decisions defensible and repeatable.</li><li>
Set the standard for AI feature security &mdash; define coverage models and assessment criteria for GenAI and AI/ML features, applying the OWASP LLM Top 10, OWASP AI Testing Guide, and MITRE ATLAS to real product risk.</li><li>
Own integration and scaling of SAST, DAST, and SCA across CI/CD, including AI-assisted triage layers that cut noise and accelerate remediation.</li><li>
Perform and lead deep secure design reviews, code reviews, threat modeling, and penetration testing for complex and high-risk systems, including cloud-native and AI-driven architectures.</li><li>
Own product security for an assigned product area or portfolio &mdash; serve as the accountable security partner for those teams, drive their threat modeling, design reviews, and risk decisions end to end, and own the security posture and remediation outcomes for that scope.</li><li>
Mentor Engineer II and mid-level teammates, review their automation and findings, and grow the team's AI and AppSec capability.</li><li>
Communicate risk clearly to both engineering and leadership audiences, and support compliance efforts across ISO 27001, SOC 2, and PCI.</li></ul>
Here's What You Need::
<ul><li>5+ years of hands-on experience in application security or secure software development, with demonstrated technical ownership.</li><li>
Strong scripting/programming skills &mdash; the ability to design and build non-trivial internal tools and automation in Python, JavaScript/TypeScript, or Bash.</li><li>
Proven experience integrating security tooling into CI/CD and the SDLC, and improving it over time.</li><li>
Strong familiarity with cloud platforms (AWS preferred; GCP or Azure acceptable) and cloud-native security, including securing applications built with AWS CDK / IaC.</li><li>
Proficiency with security testing and cloud security tools (e.g., Burp Suite, Checkmarx, Mend, Veracode, Fortify, ZAP, Wiz) and the judgment to know when manual testing beats automation.</li><li>
Deep understanding of the OWASP Top 10, CWE, SANS Top 25, secure coding practices, and web/API vulnerability classes.</li><li>
Demonstrated end-to-end ownership of at least one security tool, automation, or agentic/LLM-integrated workflow that is used in production or relied on by a team &mdash; designed, shipped, and depended on by others. This is the primary, screenable differentiator from the Engineer II role.</li></ul>
Bonus If You Have:<ul><li>
Experience securing AI/ML pipelines and a working understanding of adversarial ML, prompt injection, and agent-misuse risk.</li><li>
DevSecOps, IaC security, or supply-chain depth, and senior-relevant certifications (e.g., OSWE, OSCP, AWS Security &ndash; Specialty, CISSP).</li></ul><div>
Why You'll Love This Role</div><div><ul><li>
You'll define how AI transforms Application Security at scale &mdash; architecting automation and agents that change how an entire engineering org ships secure software.</li><li>
You'll join the ASRE team to innovate at the forefront of AI-assisted AppSec, with the autonomy to set technical direction.</li><li>
You'll work with teams who take security seriously and back you to drive meaningful, lasting change.</li><li>
You'll have both technical depth and leadership impact, with a path to grow into staff-level or lead roles.</li></ul></div><div> 
This job posting is intended to comply with all applicable laws. If we learn during the course of our recruitment process that, due to an applicant&rsquo;s location, further information about the position is required, including certain salary information, this information in this posting will be supplemented accordingly.
The estimated base salary range for new hires into this role is $120,000 - $160,000 annually + bonus depending on factors such as job-related knowledge, relevant experience, and location. We also offer a competitive benefits package, details of which can be found here.<div></div><div> 
Hybrid: 2 days in office</div><div> 
We are not able to offer sponsorship for this position</div><div></div><div> 
Physical Demands</div></div> 

LinkedIn Remote Type: #LI-Hybrid Indeed Remote Type: WFH Flexible</div>

Senior Engineer, Application Security

Dechert LLP

<div><div><div><div><div><div><div><div><div>Dechert, LLP is a global specialist law firm focused on high end legal work. The AI Engineer partners directly with attorneys, legal professionals, and business-services teams to identify, design, build, and deploy secure AI-enabled solutions that improve the delivery of legal services and firm operations. This role operates at the intersection of business discovery, rapid application development, artificial intelligence, automation, and enterprise technology.
</div><div></div><div>The role translates complex legal and operational needs into practical, scalable solutions&mdash;including generative AI applications, retrieval-augmented generation (RAG) solutions, workflow automations, intelligent agents, integrations, and custom web applications.
</div><div></div><div>The position is part of the IT Applications rapid-development function and is responsible for moving high-value opportunities from idea through proof of concept, pilot, production readiness, and transition to the appropriate enterprise applications, platform, or operations team for long-term support. The engineer works within the firm&rsquo;s security, privacy, data governance, architecture, and AI-risk-management standards.
 </div><div></div><div>ESSENTIAL JOB FUNCTIONS:
</div><ul><li>Partner with attorneys, practice groups, legal project management, knowledge management, finance, risk, client development, and business-services teams to understand workflows, pain points, and desired outcomes.</li>
<li>Facilitate technical discovery sessions; assess business problems for AI, automation, workflow, integration, and custom application opportunities.</li>
<li>Rapidly design and develop proof-of-concept and pilot solutions using approved AI platforms, APIs, low-code tools, workflow automation platforms, and custom development technologies.</li>
<li>Build secure AI-enabled applications, including generative AI assistants, document and knowledge-search solutions, RAG applications, workflow copilots, intelligent agents, and decision-support tools.</li>
<li>Develop and maintain integrations among firm applications, document repositories, knowledge systems, data platforms, collaboration tools, and approved third-party services.</li>
<li>Design AI solutions that appropriately address data classification, confidentiality, ethical use, model limitations, human review, auditability, access controls, retention, and regulatory obligations.</li>
<li>Work with enterprise solutions architecture, information security, privacy, records management, risk management, and legal teams to ensure solutions meet global firm standards before production deployment.</li>
<li>Evaluate and select appropriate technical approaches based on business value, solution complexity, data sensitivity, scalability, supportability, and time-to-value.</li>
<li>Develop reusable components, integration patterns, prompt libraries, evaluation methods, documentation, and technical standards that accelerate future AI and automation delivery.</li>
<li>Conduct testing, quality assurance, user acceptance testing, model evaluation, and performance monitoring for AI-enabled solutions.</li>
<li>Establish solution success measures, such as time saved, adoption, accuracy, user satisfaction, process-cycle reduction, risk reduction, and business impact.</li>
<li>Create technical documentation, architecture diagrams, support materials, operating procedures, and knowledge-transfer artifacts.</li>
<li>Transition mature solutions to the appropriate applications support and operations or enterprise application development, ensuring clear ownership, support readiness, and lifecycle plans.</li>
<li>Monitor deployed solutions for performance, reliability, adoption, model behavior, security concerns, and opportunities for iterative improvement.</li>
<li>Stay current on AI engineering practices, legal-industry AI use cases, emerging tools, AI governance requirements, and applicable technology trends.</li>
<li>Participate in intake prioritization, solution estimation, roadmap planning, vendor evaluations, and innovation portfolio reporting.</li>
<li>Partner with Legal, Risk, Security, and Compliance Teams to ensure AI initiatives meet applicable legal and regulatory obligations.</li>
<li>Ensure AI systems handling client or confidential information meet applicable privacy, security, and data handling requirements across all operating jurisdictions.</li> 
</ul><div></div> 
<div>KNOWLEDGE:
 </div><ul><li>Experience with Generative AI, Model Context Protocol (MCP), Azure/OpenAI, Large Language Model (LLM), Microsoft CoPilot, prompt engineering, retrieval-augmented generation, embeddings, vector databases, AI agents, model evaluation, and responsible AI practices.</li>
 <li>Application development concepts, including APIs, microservices, web applications, databases, authentication, authorization, logging, monitoring, testing, and CI/CD practices.</li>
 <li>Cloud and enterprise technology environments, including secure API integration, DevOps, identity and access management, data governance, and application lifecycle management.</li>
 <li>Automation and orchestration technologies, such as workflow platforms, robotic process automation, low-code/no-code development tools, and integration platforms.</li>
 <li>Data privacy, confidentiality, information security, records retention, and risk considerations applicable to professional-services or legal environments.</li>
 <li>Software development methodologies, including Agile, Kanban, rapid prototyping, product discovery, and iterative delivery.</li>
 <li>Legal-industry workflows and systems is preferred, including document management, knowledge management, time and billing, matter management, legal research, e-discovery, client intake, and financial systems.</li>
</ul><div>SKILLS:
</div><ul><li>Strong software engineering skills in one or more modern programming languages, such as Python, JavaScript/TypeScript, C#, ASP.NET Core, SQL, or similar technologies.</li>
<li>Ability to build and deploy AI-enabled applications using APIs, SDKs, orchestration frameworks, cloud services, and enterprise platforms.</li>
<li>Ability to translate ambiguous business needs into clearly defined user stories, technical requirements, solution designs, and delivery plans.</li>
<li>Strong consultative and communication skills, with the ability to work effectively with attorneys, senior business leaders, technical teams, vendors, and nontechnical users.</li>
<li>Ability to explain AI capabilities, limitations, risks, and recommended controls in clear, practical language.</li>
<li>Strong analytical, problem-solving, and systems-thinking abilities.</li>
<li>Ability to balance speed and experimentation with security, quality, governance, maintainability, and long-term supportability.</li>
<li>Experience designing user-centered solutions and incorporating feedback into rapid iterations.</li>
<li>Strong organization and prioritization skills in a fast-moving environment with multiple concurrent initiatives.</li>
<li>Knowledge of responsible AI frameworks such as React and emerging international AI regulations.</li>
</ul><div>INTERESTS:
</div><ul><li>Genuine curiosity about applying AI to meaningful legal, client-service, and business-operations challenges.</li>
<li>Interest in working directly with end users and seeing solutions through from discovery to measurable adoption.</li>
<li>Interest in responsible AI, data protection, human-centered design, and practical technology governance.</li>
<li>Enthusiasm for experimentation, continuous learning, emerging technologies, and building reusable enterprise capabilities.</li>
<li>Interest in improving how attorneys and professional-services teams access knowledge, complete work, collaborate, and serve clients.</li>
 </ul><div></div><div>EDUCATION AND EXPERIENCE:
</div><div></div><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, or a related technical discipline required; equivalent combination of education, training, and relevant experience may be considered.</li>
<li>Minimum of 5 years of experience in software engineering, application development, automation, systems integration, data engineering, or related technical roles.</li>
<li>Minimum of 2 years of experience designing, developing, or deploying AI-enabled, machine-learning, generative AI, automation, or intelligent workflow solutions preferred.</li>
<li>Experience building applications using large language model APIs, RAG architectures, AI orchestration frameworks, Model Context Protocol (MCP), Azure/OpenAI, vector search technologies, or agentic workflow patterns strongly preferred.</li>
<li>Experience with cloud platforms such as Microsoft Azure or Amazon Web Services⁠.</li>
<li>Experience with enterprise integrations, APIs, identity and access management, secure development practices, and application lifecycle management required.</li>
<li>Experience in a law firm, legal technology provider, consulting firm, financial-services organization, or other regulated professional-services environment strongly preferred.</li>
<li>Experience working with cross-functional stakeholders and delivering technology solutions from discovery through production deployment required.</li>
<li>Relevant certifications in cloud engineering, AI, software development, security, automation, Agile delivery, or legal technology are preferred but not required.</li></ul></div></div></div></div></div></div></div></div><div></div>

Thawani Pay

<div>
 
 
 THE ROLE
 
 
 
 
 We are looking for a Senior QA/QC Engineer to join our quality engineering team and play a key role in ensuring the quality, reliability, and security of Thawani's fintech products across mobile, web, and API layers.
 
 
 
 
 This is a hands-on role for an experienced quality engineer who is strong in both manual and automation testing, enjoys building and maintaining robust test frameworks, and thrives on solving complex quality challenges in a highly secure, regulated domain. You'll work closely with Product Owners, Developers, and DevOps to embed quality throughout the development lifecycle.
 
 
 
 
 Beyond executing tests, you'll define test strategies, review requirements and designs for testability, mentor junior QA engineers, and champion quality engineering standards across the team. You will report directly to the QA Team Lead and work alongside a small, highly collaborative engineering team focused on delivering secure, scalable fintech solutions.
 
 
 
 
 
 
 
 WHAT YOU'LL DO
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Design, develop, and maintain comprehensive test strategies, test plans, and test cases for mobile, web, and API testing.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Perform manual testing across functional, regression, integration, exploratory, usability, and edge-case scenarios.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Build and maintain automated test suites for mobile (iOS and Android), web, and RESTful/SOAP APIs.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Develop and maintain scalable, reusable automation frameworks using tools such as Appium, Selenium, Playwright or Cypress, and REST Assured or Postman.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Integrate automated tests into CI/CD pipelines to enable continuous testing and fast feedback.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Validate fintech business flows including digital wallets, QR payments, transfers, bill payments, card tokenization, and insurance services.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Analyze business requirements and UI/UX designs, and review them for testability, completeness, and edge cases.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Identify, document, track, and verify defects across development, testing, UAT, and production environments.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Contribute to security and performance testing to ensure applications meet fintech-grade standards.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Leverage AI-assisted testing tools to accelerate test case generation, test data creation, and defect analysis while maintaining high quality.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Mentor junior QA engineers, review test artifacts, and help maintain quality engineering standards across the team.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Participate in technical discussions, estimation, release readiness reviews, and continuous improvement of QA processes.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Participate in technical interviews and QA exercises during the hiring process.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Stay current with emerging testing tools, automation frameworks, AI-assisted testing practices, and industry best practices.
 
 
 
 
 
 
 
 REQUIRED QUALIFICATIONS
 
 
 
 
 Testing &amp; Quality
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Strong experience in both manual and automation testing across mobile, web, and API layers.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Solid understanding of QA methodologies, the software testing lifecycle (STLC), and test design techniques.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Experience testing native and cross-platform mobile applications on both iOS and Android.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Experience testing web applications across browsers, resolutions, and devices.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Strong experience in API testing, including functional, contract, and negative testing.
 
 
 
 
 Automation
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Hands-on experience with mobile automation tools such as Appium.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Hands-on experience with web automation tools such as Selenium, Playwright, or Cypress.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Experience automating API tests using tools such as REST Assured, Postman, or similar.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Proficiency in at least one programming language used for test automation (e.g., Java, JavaScript/TypeScript, Python, or C#).
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Experience integrating automated tests into CI/CD pipelines.
 
 
 
 
 Tools &amp; Practices
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Experience with test management and defect tracking tools such as Jira, TestRail, Zephyr, or Xray.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Strong understanding of Git workflows and collaborative development.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Experience working with multiple application environments (Development, UAT, Production).
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Familiarity with AI-assisted testing tools and how to apply them to improve QA productivity.
 
 
 
 
 Education &amp; Experience
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Bachelor's degree in Computer Science, Engineering, or equivalent.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;4+ years of QA/QC experience covering both manual and automation testing.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Experience mentoring QA engineers and contributing to quality standards.
 
 
 
 
 Soft Skills
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Excellent written and verbal communication skills.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Strong analytical, problem-solving, and attention-to-detail abilities.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Demonstrated ownership mindset and ability to take initiative.
 
 
 
 
 
 
 
 PREFERRED QUALIFICATIONS
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Experience testing in finance, e-commerce, or other high-security and regulated domains.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Experience with performance testing tools such as JMeter, k6, or Gatling.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Experience with security testing concepts and the OWASP Top 10.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Familiarity with BDD frameworks such as Cucumber or SpecFlow.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Experience working within Agile development teams.
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;ISTQB certification or equivalent.
 
 
 
 
 
 
 
 NICE TO HAVE
 
 
 
 
 &ndash;&nbsp;&nbsp;&nbsp;Familiarity with AI-assisted software development and testing practices.
 
 
 
 
 
 
 
 WHY JOIN THAWANI TECHNOLOGIES
 
 
 
 
 At Thawani, you'll have the opportunity to work on products that are transforming digital payments across Oman and the GCC.
 
 
 
 
 You'll join a collaborative engineering team where your ideas matter, your technical expertise is valued, and you'll have the opportunity to influence products used by thousands of customers every day.
 
 
 
 
 We foster a culture of continuous learning, ownership, innovation, and engineering excellence while encouraging our teams to explore modern technologies and improve the way we build software.
 
 
 
 
 If you're passionate about quality engineering, fintech, and building automation that safeguards products used by thousands of customers, we'd love to hear from you.
 
 
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Senior QA/QC Engineer

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