AI Engineer

Role Summary We are looking for a AI Engineer (5+ years experience) with a strong full-stack background to design and build AI-powered applications and agentic systems . The role involves leading small teams and delivering end-to-end solutions across UI, backend, data, and AI layers using modern cloud and AI platforms. Key Responsibilities Lead architecture, design, development, and rollout of AI solutions Build AI-native applications and agentic workflows using LLMs Develop full-stack applications (React UI, APIs, backend services) Implement RAG pipelines, automation, and AI assistants Work with cloud platforms and data pipelines Ensure scalability, performance, observability, and cost optimization Mentor engineers and drive best practices and code quality Collaborate with stakeholders to translate business needs into AI solutions Required Skills 5+ years of experience in software engineering with full-stack expertise Strong programming skills in Python / Node.js and API development (FastAPI preferred) Experience with frontend frameworks (React.js preferred) Hands-on experience with Generative AI / LLMs / agent frameworks (LangChain, LangGraph, etc.) Experience with at least one AI platform: Azure AI Foundry OR Amazon Bedrock (or similar AWS AI services) OR Snowflake Cortex AI Strong experience with Snowflake (data modeling, pipelines, performance tuning) Knowledge of cloud platforms (AWS / Azure / GCP) and event-driven architectures Experience with Docker, Kubernetes, and CI/CD pipelines Strong understanding of system design, scalability, and distributed systems