• Drive the architecture, design, and engineering solutioning of scalable AI-powered enterprise platforms across EXL’s strategic engagements. • Anchor the technology vision across Data, CX, AI, and Automation layers, supporting both sales pursuits and client delivery. • Lead Deep Tech capability, partner ecosystem and client pursuits.

Role Description We are seeking an enthusiastic and motivated Associate Software Engineer to join our Master Data Management (MDM) product line within Precisely’s Data Integrity Suite. In this role, you will contribute to building enterprise-grade, AI-first full stack applications that manage and deliver trusted, high-quality data across integrations, workflows, and analytics. You will work across frontend and backend layers, collaborating with cross-functional teams to deliver scalable, production-ready features. As part of an AI-first engineering organization, you will use AI tools as a core part of designing, building, testing, and operating software. You will be expected to apply AI to accelerate development, improve code quality, and strengthen problem-solving. You will work closely with engineers, architects, and product teams to deliver scalable, reliable, production-ready capabilities that address real customer needs. What you will do: - Develop full stack applications using Java (backend) and modern JavaScript frameworks (Angular/React) - Build responsive UI components and integrate them with backend services and APIs - Design and implement REST APIs and service integrations for MDM workflows - Contribute to data models and application architecture supporting MDM platforms - Deliver features end-to-end including development, testing, and deployment - Debug and troubleshoot defects across front-end and backend systems - Use AI tools (Copilot, ChatGPT, etc.) for coding, debugging, and productivity - Evaluate and validate AI-generated outputs for correctness and performance - Apply AI to accelerate development workflows, testing, and documentation - Write unit and integration tests to ensure code quality and reliability - Contribute to performance, scalability, and reliability improvements - Follow clean code practices and maintainable design principles - Participate in Agile ceremonies, sprint planning, and code reviews - Collaborate with Product, UX, QA, and Platform teams - Continuously learn and evaluate new technologies, especially in AI/agentic workflows, frontend and backend platforms Qualifications - Bachelor’s degree in computer science or related field - 1–2 years of experience in software development - Specific technical or software skills required: React/Angular/Java - Knowledge of JavaScript, HTML, CSS, and React/Angular frameworks - Familiarity with Java and object-oriented programming - Understanding of web application architecture and APIs - Test-driven development mindset with understanding of unit test patterns, mocking strategies, and test quality gates - Understanding of concurrent programming fundamentals, including thread-safety contracts, immutability, and shared state management - Strong problem-solving and communication skills AI Skills/Knowledge - Hands-on experience using AI tools for coding, debugging, and productivity (Copilot, Claude, ChatGPT, etc.) - Ability to evaluate and validate AI-generated code for correctness and performance - Interest in applying AI to data platforms, APIs, frontend and backend workflows - Eagerness to adopt AI-assisted software engineering development practices and agentic workflows as part of daily work Preferred Skills (a plus but not required) - Experience with Angular or React - REST APIs and microservices architectures - Exposure to cloud platforms (AWS, Azure) and distributed systems - Database knowledge (SQL/NoSQL) - Understanding of data platforms, MDM concepts, or data integration pipelines - Defensive programming practices (null safety, input validation, guard clauses, failure atomicity) - Basic knowledge of Python or AI/ML concepts - Familiarity with CI/CD pipelines and DevOps practices Company Description Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products, and strategic services. Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Our 2500 employees are unified by four company core values: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning, and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries and 20 offices across over 5 continents. Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks.

Role Description Are you passionate about building AI-powered solutions that transform the Architecture, Engineering & Construction (AEC) industry? If you're excited about applying AI to solve real-world engineering challenges and want to be part of a team shaping the future of digital construction, we'd love to hear from you. Qualifications - Minimum 2 years of experience in AI/Machine Learning. - Experience in the AEC (Architecture, Engineering & Construction) or Construction Technology industry is highly preferred. - Strong proficiency in Python, PyTorch, TensorFlow, or Scikit-learn. - Experience with Computer Vision, LLMs, and Generative AI. - Knowledge of BIM and Autodesk Revit is a strong advantage. Requirements - Location: Cairo Preferred (Remote Work) - Working Hours: 9 AM – 5 PM - Days Off: Friday & Saturday Benefits - Social Insurance - Medical Insurance

Role Description Altoros is staffing a Senior Support Engineer for a client engagement supporting an analytics platform. This is a full-stack and data-stack role: the engineer owns the platform shell, the ingestion and semantic layer, and a bounded amount of embedded analytics component upkeep. The role is commercial-model first: month one is an observe and define phase (baseline setting, onboarding), with the engagement shifting toward outcome-based delivery from month two (issue resolution time, defect reduction against baseline, availability targets). AI-augmented delivery is central to this role and one of its most important elements. Working AI-first with Claude Code is how a single engineer credibly covers this full remit. Altoros builds its delivery on Anthropic's professional courses and certification, and the engineer uses Claude Code across the full range of work — maintenance, bug-fixing, and data work, not just new development — operating inside the client's own Claude Code / AI-tooling accounts. Qualifications - AI-first delivery (core requirement): hands-on with Claude Code (or similar) / AI-assisted engineering across the full development lifecycle; Anthropic's professional courses and certification are a strong plus (or readiness to complete them) - Full-stack development experience, including a modern front-end framework (e.g. React / TypeScript), authentication/SSO implementation, and multi-tenant application architecture - Hands-on experience with Dagster for orchestration (or similar tools) - Strong DBT and SQL experience for data transformation - Experience with BigQuery and the Google Cloud Platform (GCP) data stack - Experience with Cube or a comparable semantic-layer / metrics-layer tool - Familiarity with embedded analytics tooling (Embeddable or similar), component customization, theming, SDK integration - Comfortable working independently and engaging directly with client stakeholders - Strong documentation discipline: Confluence, DBML/ER diagrams - Available to work core hours aligned to Chicago time (CT) Requirements - Maintain and extend authentication and SSO integration - Own navigation and application shell components (modern front-end framework, e.g., React / TypeScript) - Manage tenant and user management, including multi-tenancy considerations - Build and maintain data ingestion pipelines - Operate and extend orchestration workflows in Dagster - Develop and maintain transformation logic in dbt and SQL - Work with the data warehouse on Google Cloud Platform (GCP), primarily BigQuery - Maintain the semantic layer in Cube, including metric definitions and data modeling - Customize and update Embeddable component files pulled into the client's repo - Maintain theming and keep the Embeddable SDK current - Maintain centralized documentation in Confluence, including DBML/database diagrams - Capture ongoing knowledge for handover and continuity purposes - Work to defined outcome targets from month two: P1 issue resolution/mitigation within one business day, defect reduction against an agreed baseline, and business-hours availability once the client is live - Use spare capacity (when live issues don't consume the monthly band) on preventative maintenance, hardening, and onboarding new data sources/integrations Benefits - 80 hours/month, full remit across platform shell, data/semantic stack, and Embeddable upkeep - Backup coverage required for continuity during absences: candidate should be able to hand off context cleanly