Company Description Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,500 customers to provide better digital experiences to more than 25+ million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. #LI-Hybrid Job Description At Nexthink, we are embedding AI agents into the core workflows of our Product organization. We are seeking an AI Agent Engineer to design, build, and continuously improve intelligent agents that augment and automate high-impact product operations activities. This role supports Nexthink's Product organization, serving a group of 30+ people across Product Management, Product Education, Library, and Product Operations. You will operate in a highly autonomous role, owning the architecture, behavior, and quality of AI agents that improve decision-making, reduce manual work, and increase execution speed. You will combine applied AI engineering with strong systems thinking. The focus is not model research, but production-grade agent design, evaluation, governance, and workflow integration. This role requires strong ownership, product empathy, and comfort operating independently in a production environment with real business impact. What you'll do Design and architect AI agents - Design reusable AI agent patterns for Product workflows such as research synthesis, PRD (Product Requirement Document) drafting support, roadmap analysis, operational triage, and knowledge retrieval. - Define agent instructions, tool schemas, guardrails, and structured output contracts. - Architect human-in-the-loop decision boundaries where appropriate. Integrate agents into product workflows - Integrate AI agents into Microsoft 365, Copilot Studio, Power Platform, AWS services, and internal systems. - Define and maintain action interfaces between agents and deterministic systems (APIs, workflows, runbooks). - Ensure reliable orchestration across conversational and workflow layers. Own quality, evaluation, and governance - Define measurable success criteria for agent outputs. - Build lightweight evaluation frameworks and regression testing for prompts and behavior. - Monitor output quality, hallucination risk, cost, and drift over time. - Establish safe usage guidelines and governance boundaries. Operate and improve in production - Monitor agent usage, reliability, and impact. - Optimize performance, token efficiency, and response structure. - Iterate on agent behavior based on real usage patterns and feedback. - Proactively identify new opportunities where AI agents can improve Product workflows. Qualifications Must-have - 6-8+ years of experience building and owning production systems end to end. - Strong system design skills, including event-driven and serverless architectures, with clear trade-off reasoning. - Experience integrating systems through APIs, webhooks, REST, and Graph. - Practical experience designing or integrating AI or LLM-powered workflows in production. - Strong independent ownership and architectural judgment. - Ability to translate ambiguous business needs into structured, scalable AI-enabled solutions. - Excellent collaboration and communication skills. Critical competencies - Prompt and instruction design as structured system artifacts. - Tool and schema design for AI agents. - Evaluation methodology for AI systems (quality metrics, regression testing, failure pattern analysis). - Understanding of LLM failure modes and mitigation strategies. - Experience designing guardrails, structured outputs, and human approval flows. Nice to have - Experience with Microsoft Copilot Studio, Power Platform, or similar low-code orchestration tools. - Experience with AWS services such as Lambda, Step Functions, EventBridge, or Bedrock. - Familiarity with conversational UX design. - Experience embedding AI into internal productivity workflows. At Nexthink, you will join a dynamic, fast-growing team where innovation and ownership are encouraged. This is more than an engineering role-it's an opportunity to shape how we work, scale our impact, and bring AI-powered automation into the heart of our product operations. Additional Information We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers' IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace. With over 1200 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees 'Nexthinkers' and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages. If you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer: - Permanent Contract and a competitive compensation package. - Amazing centrally located offices near the Bernabeu Stadium. - Private Health Insurance (Sanitas) and daily meal vouchers of 11 EUR will be entirely covered by us. - Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding. - Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 23 days of holidays we offer) plus 3 company-paid volunteer days. - Up to 25 EUR per month for a gym subscription. - Flexible compensation plan for childcare & public transportation. - ‍ Reimbursement of up to 50% of the cost of English & Spanish classes. - Fresh fruit, cookies, soft drinks and protein shakes at the offie. - Regular company and team events like Pizza talks, Team Building activities, Christmas parties, hosting Meetups at the office and more! - Bonuses for referring successful hires after three months of continuous employment. - We offer a relocation package to people who are coming from another country. Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up-to-date information, we recommend checking with your Recruitment Partner. The base salary for this role is €50,000 - €65,500 gross per year, with a total on-target earnings (OTE) range of €55000 - 71500€ including an annual performance bonus. You'll also be part of our broader total rewards package - including benefits tailored to where you live and how you work best. We set our pay ranges using objective criteria: the scope and level of the role, the skills it takes to do it well, and the relevant market data. Ranges are reviewed every year to remain competitive and fair. We're transparent about this because we think you deserve to know what you're working towards from day one. In accordance with the EU Pay Transparency Directive (2023/970), we publish salary ranges on every Nexthink role. We won't ask what you currently earn or your previous salary. What matters to us is what this role is worth and whether it works for you. Nexthinkers come from all kinds of backgrounds, and that's what makes us stronger. We welcome applications from everyone.

Role Description This is a remote position. Job Location: Pakistan (Remote) Job timings: Mon-Fri in US time-zone Experience: 5+ years Key Responsibilities - Develop, test, and maintain RESTful API connectors for enterprise systems such as Salesforce, Workday, SAP, Oracle, and AWS. - Use AI-assisted tools such as ChatGPT, GitHub Copilot, or similar platforms to enhance productivity and generate clean, efficient code. - Design and implement the normalization layer to map identity and entitlement data into a unified schema for YouAttest. - Build automation for data synchronization, delta detection, and versioning using PostgreSQL or DynamoDB. - Develop and maintain modern web applications and dashboards using Next.js and React for connector health monitoring, system metrics, and administrative workflows. - Implement secure, read-only authentication methods (OAuth2, SCIM, API keys) and ensure compliance with data protection requirements. - Collaborate with project managers, architects, and QA teams to meet defined milestones. - Maintain detailed documentation, reusable code, and version control practices. Qualifications - Strong background in Python or Node.js (preferably both). - Strong hands-on experience with Next.js and React, including server-side rendering (SSR), API routes, and modern frontend development practices. - Experience with RESTful APIs, GraphQL, and authentication protocols (OAuth2, OpenID Connect). - Practical experience using AI-assisted programming tools such as ChatGPT, GitHub Copilot, Codeium, or TabNine. - Knowledge of relational and NoSQL databases such as PostgreSQL or DynamoDB. - Hands-on experience integrating with enterprise APIs such as Salesforce, Workday, SAP, Okta, and AWS. - Solid understanding of JSON structures, webhooks, and data normalization. - Excellent debugging, problem-solving, and documentation skills. Requirements - Languages: Python, Node.js, TypeScript, JavaScript - Frameworks: FastAPI, Express.js, Next.js - Databases: PostgreSQL, DynamoDB - Frontend: Next.js, React - AI Tools: ChatGPT, GitHub Copilot, OpenAI API, Codeium - Cloud: AWS (EC2, Lambda, Secrets Manager, CloudWatch) - Version Control: GitHub Benefits - Medical insurance - Company gadgets - Paid time off - Stock options (ESOP) - Competitive salary and benefits package. - Opportunities for professional development and growth. - Collaborative and innovative work environment. - Chance to work on cutting-edge cloud projects. - Supportive and inclusive company culture

Role Description As a Frontend Engineer (Coding Agent Experience), you will: - Use frontier AI coding agents to complete and evaluate complex engineering tasks. - Review model-generated frontend code for correctness, quality, maintainability, accessibility, and performance. - Identify bugs, edge cases, and failure modes in model outputs. - Compare outputs from multiple frontier models and assess their strengths and weaknesses. - Apply professional engineering judgment to realistic frontend engineering scenarios. Qualifications - Must-Have: - 2+ years of professional frontend engineering experience. - Experience building modern web applications using React, TypeScript, JavaScript, or similar technologies. - Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools. - Ability to evaluate model-generated frontend implementations, UI architecture, and performance optimizations. - Preferred: - Experience working on large-scale consumer or enterprise applications. Requirements - Compensation: $85/hour - Compensation tied to accepted work: $400 per accepted task Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process Details - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. - Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications. - Identify bugs, edge cases, performance issues, and failure modes in AI models. - Compare outputs from multiple frontier models and assess their strengths and weaknesses. - Apply professional engineering judgment to realistic ML engineering scenarios. Qualifications - 2+ years of professional machine learning engineering experience. - Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products. - Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools. - Ability to evaluate model-generated machine learning implementations and technical tradeoffs. Requirements - Experience deploying ML systems to production. Benefits - $85/hour compensation. - $400 per accepted task; compensation is tied to accepted work. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com .