
AI Innovator
3 days ago
Drive the development of AI-native products and deliver robust engineering with cutting-edge generative capabilities.
Key Responsibilities:- Generative AI Engineering
- Design and build large language model-powered applications for retrieval-augmented generation, multi-agent systems, generative search, and AI copilots.
- Implement prompt engineering, fine-tuning, and evaluation frameworks for production-grade reliability.
- Optimize AI inference at scale for latency, cost efficiency, and guardrails.
- Ensure responsible AI use through bias detection, explainability, and data privacy.
- Full Stack Development
- Architect and deliver end-to-end features across frontend (React/Next.js), backend (Node.js/Python/Java), and cloud-native infrastructure.
- Build secure APIs, data pipelines, and real-time services that power AI-driven user experiences.
- DevSecOps & Shift-Left Practices
- Embed security and testing early in the development lifecycle.
- Own CI/CD pipelines with automated testing, vulnerability scanning, and compliance guardrails.
- Implement Infrastructure as Code (IaC) and observability for resilience and scalability.
- Leadership & Collaboration
- Mentor engineers on AI software engineering best practices.
- Collaborate with product managers and data scientists to translate business problems into AI-first solutions.
- Drive technical decision-making, balancing innovation speed with long-term system sustainability.
- Must-Have:
- Strong background in artificial intelligence and machine learning.
- Excellent problem-solving skills and ability to work independently.
- Strong communication and collaboration skills.
- Experience with full stack development and cloud-native infrastructure.
- Knowledge of DevSecOps and shift-left practices.
- Ability to drive technical decision-making and balance innovation speed with long-term system sustainability.
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