AI Developer
Experience: 5-7 Years
We are looking for a hands-on Senior AI Developer for our innovative SaaS platform. The ideal candidate should have strong expertise in Angular-based frontend development along with experience in building AI-powered solutions, including creating MCP (Model Context Protocol) servers using AI agents.
The candidate should be technically strong, collaborative, and passionate about building scalable and intelligent SaaS applications.
Responsibilities:
Drive execution and delivery of product features by collaborating with architects, product managers, backend teams, and QA.
Design and develop modern Single Page Applications (SPA) using Angular.
Build scalable, reusable UI components and frontend architecture.
Integrate AI-powered capabilities such as copilots, intelligent search, and automated workflows.
Design and implement MCP (Model Context Protocol) servers enabling AI models to interact with application services and data.
Build and integrate AI agents that interact with internal APIs, tools, and data sources.
Work with backend services using Node.js and REST APIs.
Optimize applications for performance, scalability, and usability.
Participate in technical design discussions and architecture decisions.
Required Skills & Experience:
5-7 years of hands-on experience in software development.
Strong expertise in Angular (v16+) and TypeScript.
Strong knowledge of JavaScript (ES6+) and modern frontend architecture.
Experience building Single Page Applications (SPA).
Experience with Node.js and Express.js.
Experience designing and consuming RESTful APIs.
Hands-on experience in building MCP servers using AI agents.
Experience integrating LLM APIs and AI services into applications.
Understanding of AI agent workflows and tool orchestration.
Experience with cloud platforms (AWS preferred).
Knowledge of D3.js or other data visualization libraries.
Experience with Google Maps APIs and OpenSearch.
Strong problem-solving, communication, and collaboration skills.
Preferred Skills & Experience:
Experience with AI agent frameworks (LangChain, LlamaIndex, etc.).
Experience with vector search or semantic search systems.
Experience with OpenSearch / Elasticsearch.
Experience with CI/CD pipelines and containerized deployments.
Experience working on AI-enabled SaaS products.




