Front end Developer/Full stack (UI/UX) with AI

AI & Backend Integration: Develop and maintain robust backend services using Python to handle AI model integration, data processing, and API development.

Frontend Excellence: Architect and develop dynamic, responsive user interfaces using Angular JS and modern JavaScript (ES6+).

Workflow Automation: Leverage Google AppScript to build custom integrations, automate internal processes, and connect G-Suite tools with our core AI engine.

Full Stack Ownership: Manage the entire software development lifecycle (SDLC), from initial schema design to deployment and post-launch optimization.

Issue Resolution: Deep-dive into complex technical debt and production bugs, providing root-cause analysis and long-term structural fixes rather than "band-aid" solutions.

We are seeking a proactive, high-ownership Senior Full Stack Developer to join our AI development team. In this role, you will build and scale end-to-end AI applications, integrate automated workflows, and design intuitive front-end interfaces.

The ideal candidate is a technical "problem-solver" who thrives in client-facing environments. You won't just be taking tickets; you will diagnose architectural bottlenecks, propose AI-driven optimizations, and communicate directly with stakeholders to turn complex requirements into functional code., Technical Requirements

Python Proficiency: 5+ years of experience with Python (Django, Flask, or FastAPI), specifically for data-heavy or AI-integrated applications.

Strong exp with cloud infrastructure (GCP).

JavaScript & Frameworks: Strong mastery of Vanilla JavaScript and hands-on experience with Angular JS (and familiarity with the migration path to modern Angular).

AppScript Expertise: Proven experience using Google AppScript for enterprise automation or custom add-ons.

API Design: Deep understanding of RESTful APIs and asynchronous programming.

Experience in end to end agentic workflows

Non-Technical & Behavioral Competencies

Proactive Communication: You don't wait for instructions when a system is down. You identify risks early and communicate them clearly to the team.

Client-Facing Ability: Comfortable leading technical discussions with clients, explaining "the why" behind technical decisions, and managing expectations.

Independent Problem Solving: Ability to take a vague client "pain point" and translate it into a technical roadmap without constant supervision.

Analytical Depth: A "first-principles" thinker who can debug not just the code, but the logic and architecture behind it.

Strong experience in using Gen AI technologies: Gemini, co-pilot, claude AI to augment their engineering skills

Should be able to work in a fast paced environment and tackle the uncertainities

Preferred Qualifications:

Experience with AI/ML orchestration tools (LangChain, LlamaIndex).

Prior Google experience is a significant advantage.

Hands on experience in setting up CI/CD pipeline is an advantage