Generative AI Engineer with AWS Experience

Role: Generative AI Engineer with AWS experience Location: Remote Visa: USC, GC, H4EAD, GCEAD, AND TN Job description: Scope: Technical delivery and engineering execution of Gen AI Solutions (may include data science and automation aspects as well) Focus Areas: • Lead the pod’s day-to-day development and technical decisions. • Translate product objectives into implementation plans and sprint goals. • Directly manage developers and AI engineers. Leadership & Collaboration Expectations • Ability and willingness to collaborate with Perth based Engagement Lead on a daily basis supporting the discovery phase of initiatives • Lead technical design decisions and resolve blockers across pods. • Manage code reviews, shared modules, and ensure engineering consistency. • Drive agile development practices including sprint planning, backlog grooming, and velocity tracking. • Foster a culture of growth mindset, technical excellence, encouraging experimentation, learning from failure, and continuous improvement. • Support onboarding and mentoring of developers and AI engineers. • Engage with business stakeholders when needed (Inform Engagement Lead). Communication & Stakeholder Engagement Expectations • Work closely with the Tech Chapter Lead and Engagement Lead to align technical decisions with the AI platform strategy, business goals, and cross-team dependencies. • Represent the pod in technical forums, showcases, and architecture reviews. • Communicate risks, trade-offs, and technical constraints clearly to non-technical stakeholders. • Ensure timely updates to the Engagement Lead on technical decisions and stakeholder conversations. Technical Skills Engineering & Architecture • Strong experience with cloud-native development, including secure handling of secrets, environment variables, and service configurations. • Proficiency in CI/CD pipelines for AI systems and microservices. • Familiarity with team-based access control, code ownership, and repository governance. • Skilled in modern programming languages and infrastructure-as-code practices. • Ability to manage API specifications and service integrations across platforms. • Experience agile software development AI & Agentic Systems • Experience designing and deploying conversational agents and multi-agent systems. • Capable of orchestrating agent workflows, managing context, and integrating external data sources. • Understanding of retrieval-augmented generation (RAG) patterns and scalable inference strategies. • Comfortable evaluating trade-offs between deployment models (e.g. serverless vs. containerised). Security & Compliance • Awareness of enterprise data privacy and cybersecurity standards. • Responsible handling of user interactions and logs, with clear boundaries for data retention and observability. Tooling & Observability • Use of observability tools for tracing, logging, and performance monitoring. • Familiarity with API testing and authentication flows across service layers. -- Shailendra Rajak Raas infotek corporation 262 Chapman road, Suite 105A, Newark, DE-19702 Phone no. 302-565-0220, Ext. 145 Email id: shailendra.rajak@raasinfotek.com LinkedIn:linkedin.com/in/shailendra-r-9904ba27b