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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain full-stack AI-powered applications including frontend, backend, REST APIs, and LLM integrations.
Design and build AI agent workflows and Model Context Protocol (MCP) servers connecting AI agents to enterprise tools and data.
Ensure secure, scalable AI solutions with features like access control, policy enforcement, data pipelines, and application monitoring.
Minimum Requirements
Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience.
4+ years of professional software engineering experience with strong backend and full-stack skills.
Proficiency in Python and/or TypeScript/JavaScript (Node.js) and experience with frontend frameworks like React or Next.js.
Hands-on experience with LLM APIs (e.g. OpenAI, Anthropic Claude), prompt engineering, RAG architectures, and vector databases.
Ideal Candidate Profile
Experienced software engineer with demonstrated ability to deliver production-ready AI applications involving LLMs and enterprise integrations.
Familiarity with modern AI engineering tools and frameworks such as LangChain, LangGraph, or LlamaIndex and cloud platforms (AWS, Azure, GCP).
Skilled in working across frontend, backend, data pipelines, and AI integrations with capability in building secure and scalable enterprise-grade AI platforms.