About the Role: We are an HTML5 framework and platform provider looking for a Senior AI Engineer to build and integrate AI capabilities into products, developer tools, and business workflows. The ideal candidate should have strong experience in AI systems, AI agents, LLMs, Machine Learning, orchestration, and automation, with the ability to identify business problems and transform manual workflows into intelligent AI-driven solutions. This role requires someone who can think like a consultant + architect + builder — discovering AI opportunities, designing scalable architectures, and delivering production-ready AI solutions. Key Responsibilities: Design and develop AI-powered features for web and enterprise applications. Integrate Large Language Models (LLMs) and AI services into existing products and platforms. Build intelligent developer tools, assistants, code generation workflows, and automation solutions. Develop AI agents, RAG (Retrieval-Augmented Generation) systems, and workflow orchestration solutions. Work closely with framework architects, frontend engineers, and product teams to embed AI capabilities into the platform. Evaluate emerging AI technologies and recommend solutions that align with business goals. Optimize AI solutions for performance, scalability, reliability, and cost. Create proof-of-concepts and rapidly prototype AI-driven features. Establish best practices for AI development, prompt engineering, model evaluation, and governance. Required Skills 4–7 years of software engineering and/or AI development experience. Strong experience building AI-powered applications and intelligent automation solutions. Hands-on experience with LLMs (GPT, Claude, Gemini, open-source models). Strong proficiency in Python (preferred) and experience with AI application development. Hands-on experience with LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar AI frameworks. Strong understanding and implementation experience in: RAG (Retrieval-Augmented Generation) Vector Databases Embeddings Semantic Search Agentic Workflows Prompt Engineering AI Workflow Design Experience integrating AI APIs and services into production applications. Familiarity with REST APIs, microservices, cloud platforms, and scalable architectures. Strong system design, analytical thinking, and problem-solving skills. Preferred Skills: Experience developing AI copilots, assistants, or autonomous agent systems. Experience with Azure AI, Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar platforms. Knowledge of fine-tuning, model evaluation, AI observability, and AI performance optimization. Experience building developer productivity tools, internal platforms, or SDKs. Nice to Have Experience working on framework, platform, or SDK development. Exposure to MCP (Model Context Protocol), agent orchestration, and tool-calling architectures. Knowledge of code generation, code analysis, and AI-assisted development workflows. Exposure to frontend ecosystems such as HTML5, JavaScript, TypeScript, Angular, React, or Vue. Open-source contributions related to AI technologies. What We Are Looking For A builder who converts AI ideas into production-ready solutions. Strong AI solutioning and architecture mindset. Ability to identify business use cases and deliver measurable outcomes. Passion for creating intelligent developer experiences. Ability to quickly evaluate and adopt emerging AI technologies and best practices.
