GenAI Adoption Lead

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT , and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world. Our Client is a global leader in corporate brand protection and domain management, serving Fortune 500 and large enterprises with domain registration, online brand monitoring, and anti-counterfeiting services. Project Description: Alongside the consolidation of its legacy client portals into a single modern platform, the Client is investing in internal AI capabilities to accelerate engineering and operations. This role focuses on building internal AI tools, agentic workflows, and engineering tooling - leveraging AWS Bedrock and a solid MLOps foundation. Requirements: 5+ years of commercial software engineering experience, with a strong focus on AI/ML engineering Hands-on experience with AWS Bedrock — foundation models, agents, and knowledge bases Solid MLOps experience — model deployment, monitoring, pipelines, evaluation, and lifecycle management Proven experience building AI agents, agentic workflows, or LLM-powered internal tools Strong Python skills for AI/ML development and tooling Experience with RAG, prompt engineering, and vector databases Familiarity with LLM/agent frameworks (e.g. LangChain, LlamaIndex, or comparable) Hands-on experience with AWS services beyond Bedrock Strong understanding of testing and evaluation practices for AI systems Familiarity with modern CI/CD pipelines and Git workflows Ability to work in a distributed, multi-timezone team (US / UK / Brazil), with meaningful US Mountain Time overlap preferred Excellent English communication skills Experience working in Agile / Scrum / Kanban Nice to Have: Experience with AI-assisted development tools (Copilot, Claude, Cursor) Experience embedding AI into existing engineering workflows and developer tooling Background in SaaS, multi-tenant platforms, or large-scale B2B portals Familiarity with the PHP / Laravel ecosystem (useful for tooling that integrates with the platform) Responsibilities: Design, develop, and deliver internal AI tools and agentic workflows using AWS Bedrock Build and maintain MLOps pipelines for deployment, monitoring, and evaluation of AI capabilities Develop engineering tooling that improves developer productivity and quality across the team Contribute to architectural discussions and technical decisions for the AI workstream alongside the Tech Lead Implement RAG, prompt engineering, and evaluation frameworks to ensure reliable, measurable AI behavior Write clean, testable code with appropriate test and evaluation coverage Participate in code reviews, sharing knowledge and maintaining quality standards Break down user stories into technical tasks; estimate effort during sprint planning Troubleshoot issues and contribute to root-cause analysis Engage with Client engineering counterparts in US / UK / Brazil on integration points and delivery milestones Participate in Agile ceremonies (stand-ups, planning, retros, demos) We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits *not applicable for freelancers