Lead cross‑functional teams in the design, development, and deployment of advanced AI agents and multi‑modal AI solutions that autonomously execute complex business workflows.
Locations (2)
Bangalore, Karnataka, India
Gurugram, Haryana, India
Responsibilities
Oversee end‑to‑end lifecycle of AI projects
Provide thought leadership to consultants and engineers
Define and communicate strategic vision for AI agent solutions
Act as trusted advisor to clients
Drive discussions on Gen AI best practices
Requirements
Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines
Operations Specialist to help transform how appen-2 scales and delivers talent for high-growth AI projects, simplifying complex workflows and building AI-powered automations.
Responsibilities
Map and analyse end-to-end fulfillment workflows
Design, build, and maintain AI agents, automated workflows, and internal tools
Leverage AI-assisted sourcing tools to build targeted contributor pipelines
Automate repetitive sourcing activities
Develop and maintain automated dashboards and reports
Lead the Unified API group, overseeing two teams responsible for core payment APIs, blockchain infrastructure, and agentic payment solutions, driving technical strategy and engineering delivery.
Responsibilities
Lead and develop engineering teams responsible for core payment APIs, blockchain, and agentic payment solutions
Manage and mentor engineers and an Engineering Manager
Oversee engineering delivery across multiple teams
Drive talent development through coaching, performance management, career development, and hiring
Ensure the reliability and operational excellence of production systems
Requirements
Nice to have: Managing Engineering Managers
Nice to have: Developing or overseeing production AI-agent systems
As a Test Manager in PEU-RP you will as a technical leader develop and use agentic AI as tool to drive and define test analysis of new 5G and 6G RAN features, to secure the most efficient and effective testcoverage, which ensures product quality and an optimized product flow.
Compensation
The salary range for this position is
• Ottawa: $101,500CAD - $ 133,350CAD
Short-Term Variable Compensation Plan: Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit’s objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.
Responsibilities
Drive test analysis of 5G and 6G RAN features from study through execution: set and communicate test scope, and secure test coverage and quality.
Identify the impact and risks of new features on test tools, forecast test environment requirements and follow up their implementation.
Drive the design, development and deployment of Agentic AI solutions for test, such as AI agents for test analysis, test case selection and generation and etc
Deploy, operate and scale AI solutions on AWS or other cloud platforms, in close collaboration with tools, CI/CD and infrastructure teams
Educate and support the organization on test strategy, efficient testing and the use of AI agents in the test flow
Requirements
M.Sc/B.Sc in Telecommunication/Electrical Engineering /Computer Science or equivalent experience
Nice to have: Production-grade AI engineering practice
We are looking for a Senior Automation QA Engineer to develop and maintain two interconnected projects: a Python-based test automation framework and an AI-powered QA automation solution.
Locations (5)
Bratislava, Bratislava, Slovakia
Prague, Prague, Czech Republic
Kraków, Lesser Poland Voivodeship, Poland
Bucharest, Bucharest, Romania
Warsaw, Masovian Voivodeship, Poland
Compensation
Competitive salary and bonus system – Enjoy additional rewards on top of your base salary;
Shape and lead the development of a next-generation AI product ecosystem for business operations, owning the architecture and technical direction of production-grade agentic systems.
Compensation
Competitive annual salary: $200,000–$300,000, depending on experience, skills, and qualifications.
Responsibilities
Lead the architecture, design, and development of a production-grade multi-agent system capable of safely executing actions across core business tools, including ERP, CRM, spreadsheets, calendars, email, analytics, and compliance platforms.
Own the development and continuous improvement of Model Context Protocol (MCP) integrations that connect internal business systems with external AI environments and assistants.
Design and implement a unified data infrastructure that consolidates information from multiple sources into a centralized layer accessible to AI agents and external tools.
Build contextual memory and customer profiling systems that ingest business data and enable increasingly personalized, intelligent AI experiences.
Establish robust reliability, observability, permission management, and durable execution mechanisms to ensure agents operate safely on real customer data.
Shape and lead the development of a next-generation AI product ecosystem for business operations, owning the architecture and technical direction of production-grade agentic systems.
Compensation
Competitive annual salary: $200,000–$300,000, depending on experience, skills, and qualifications.
Responsibilities
Lead the architecture, design, and development of a production-grade multi-agent system capable of safely executing actions across core business tools, including ERP, CRM, spreadsheets, calendars, email, analytics, and compliance platforms.
Own the development and continuous improvement of Model Context Protocol (MCP) integrations that connect internal business systems with external AI environments and assistants.
Design and implement a unified data infrastructure that consolidates information from multiple sources into a centralized layer accessible to AI agents and external tools.
Build contextual memory and customer profiling systems that ingest business data and enable increasingly personalized, intelligent AI experiences.
Establish robust reliability, observability, permission management, and durable execution mechanisms to ensure agents operate safely on real customer data.
Shape and lead the development of a next-generation AI product ecosystem for business operations, owning the architecture and technical direction of production-grade agentic systems.
Compensation
Competitive annual salary: $200,000–$300,000, depending on experience, skills, and qualifications.
Responsibilities
Lead the architecture, design, and development of a production-grade multi-agent system capable of safely executing actions across core business tools, including ERP, CRM, spreadsheets, calendars, email, analytics, and compliance platforms.
Own the development and continuous improvement of Model Context Protocol (MCP) integrations that connect internal business systems with external AI environments and assistants.
Design and implement a unified data infrastructure that consolidates information from multiple sources into a centralized layer accessible to AI agents and external tools.
Build contextual memory and customer profiling systems that ingest business data and enable increasingly personalized, intelligent AI experiences.
Establish robust reliability, observability, permission management, and durable execution mechanisms to ensure agents operate safely on real customer data.
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