Senior Software Engineer – AI Automation & Runtime Systems

Position Title :

Senior Software Engineer – AI Automation & Runtime Systems

Department :

IT – Software Development

Experience Level :

Minimum of 5+ years of hands-on professional experience in building AI-driven automation systems, scalable backend components, and cross-platform UI interaction frameworks.

Manager :

Head of India Operations

Direct Reports : NA

Hire type : Contract

Location : Remote

Work-times : IST timezone

Tag :

Python Engineer – AI Agent & Cross-Platform Automation, Senior Software Engineer – AI & Automation, Lead Software Engineer – Automation Systems

Yularatech is an IT services provider offering end-to-end quality IT solutions to our partner clients. We specialize in IT skills resourcing, IT consulting and outsourced application development and support.

Position Summary

We are seeking a Senior Software Engineer to help build an AI assistant that can operate software interfaces like a human across web, desktop, and remote applications.

The role involves strong

Python development, UI interaction automation,

and designing reliable, secure, cross-platform execution flows. You will work on core runtime systems, concurrency models, accessibility integrations, and adaptive UI handling to ensure the AI performs tasks safely, consistently, and intelligently.

Key Responsibilities

AI Agent & Computer Interaction Automation Responsibilities

Build core components enabling the AI agent to operate software interfaces like a human.

Implement systems that allow the AI to click, type, fill forms, navigate apps, and handle pop-ups.

Design robust UI-state detection logic to ensure the AI works even when layouts change.

Build fallback and recovery flows for non-deterministic or unexpected UI behavior.

Enable the AI to operate across web apps, desktop apps, and remote desktops.

Ensure all AI actions comply with security, authentication, and company policies.

Core Engineering Responsibilities

Build new product features and modules from scratch.

Work with UI interaction layers for web and desktop environments.

Develop and maintain backend services and core application components.

Implement Desktop UI automation and integrate with OS accessibility APIs.

Enable stable cross-platform execution across Windows and Mac.

Handle async execution, concurrency, and multi-process workflows.

Design runtime sandboxing and enforce strong security boundaries.

Manage non-deterministic UI behaviour and build reliable fallback logic.

Implement logging, tracing, error handling, and debugging systems.

Collaborate closely with frontend, DevOps, QA, and product teams.

Support cloud deployments (preferably AWS) and CI / CD pipelines.

Mandatory Skills

AI Interaction & Automation Skills

Experience building automation systems that interact with UI elements (buttons, forms, pop-ups, modals).

Ability to design reliable, human-like UI interaction flows for web, desktop, and remote environments.

Strong understanding of screen-level automation, UI element detection, and fallback logic.

Familiarity with tools or frameworks that simulate human interaction (accessibility APIs, UI automation APIs).

Ability to design safe automation that respects permissions and security boundaries.

Core Technical Skills

Strong programming experience in Python (must-have).

Good understanding of APIs, microservices, and backend system design.

Experience with Desktop UI automation and OS accessibility APIs.

Basic experience with async programming and event-driven architectures.

Experience with SQL / NoSQL databases (PostgreSQL, MySQL, DynamoDB, MongoDB).

Experience with cloud platforms (preferably AWS – Lambda, ECS, API Gateway, SQS, RDS).

Strong understanding of concurrency, async flows, and multi-process execution.

Experience using Git and Agile development processes.

Ability to work independently without needing architect-level responsibilities.

Good to Have

Experience working with

Windows and Mac desktop environments .

Knowledge of runtime sandboxing, isolation, and system security boundaries.

Experience with

UI automation , web runtimes (DOM), Chromium or browser engine internals.

Exposure to

OS accessibility APIs

(Windows UIA, macOS Accessibility, etc.).

Working familiarity with non-deterministic UI behaviour.

Knowledge of Terraform / CloudFormation (IaC).

ML / CV experience is desirable.

Experience with LLM-driven decision models.

Experience in fintech, payments, or transaction-heavy systems.

Knowledge of monitoring tools like CloudWatch or Datadog.