AI Research Engineer Agentic AI & Intelligent Automation
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
We are seeking a talented and driven AI Engineer to join our innovative team. This role is central to designing and developing agentic AI systems RAG-based applications and intelligent automation pipelines that enhance the intelligence and efficiency of our surveillance solutions.
You will work on building multi-agent frameworks and integrating LLMs with structured knowledge bases. The ideal candidate combines strong deep learning expertise (PyTorch or TensorFlow) with hands-on experience in LangChain LangGraph or similar frameworks to create context-aware autonomous AI systems ensuring reliability and scalability. Youll also contribute to QA automation and RPA workflows to ensure smooth operations focusing on automating repetitive human tasks using computer science technologies.
This position offers the opportunity to work at the intersection of AI research real-time analytics and intelligent automation.
Key Responsibilities
- Design Agentic AI Applications: Design and implement agentic AI applications Architect AI agent frameworks capable of autonomously analyzing visual and operational data making decisions and coordinating actions (like alerts or diagnostics) within the surveillance ecosystem.
- Design RAG Applications: Build Retrieval-Augmented Generation (RAG) systems that combine large language models with structured knowledge bases (logs system data documentation) to enable context-aware analytics troubleshooting and operational insights.
- Intelligent Robotic Process Automation (RPA) : Design AI based software tools to automate repetitive or rule-based digital tasks normally performed by humans to reduce manual workload and improve system efficiency. Develop and implement intelligent automation pipelines to streamline surveillance operations such as video data handling and device monitoring by integrating RPA with AI models.
- QA Automation: Automate QA based applications and integrate AI into QA automation. Design and maintain automated testing frameworks for device software to ensure consistent performance reliability and accuracy across camera analytics detection modules and cloud-based services.
- Research on Cutting Edge Technologies: Continuously explore advancements in AI computer vision edge computing and automation to identify innovative solutions that enhance the intelligence and adaptability of surveillance products.
- Deployment and Integration: Manage the end-to-end deployment scaling and integration of AI and automation modules across on-premise devices and cloud environments ensuring smooth interoperability within the companys surveillance infrastructure.
Required Qualifications
- Bachelors or Masters degree in Computer Science Electrical Engineering Artificial Intelligence or a related technical field.
- Strong programming skills in Python.
- Proven experience with modern deep learning frameworks such as PyTorch (preferred) or TensorFlow.
- Hands-on experience in working with Agentic AI systems Multi-Agent workflows (LangGraph or other Agentic AI system design frameworks).
- Solid understanding of LLMs and experience in developing Retrieval-Augmented Generation (RAG) applications or LLM-based conversational systems (using Vector Databases and frameworks such as LangChain or similar RAG development tools).
- Prior contributions to research papers or projects.
Preferable Skills and Experience
- (Preferred) Prior research contributions such as technical papers open-source projects or academic collaborations.
- Familiarity with MLOps principles and tools (e.g. Docker MLflow) for managing the machine learning lifecycle.
- Familiarity with Robotic Process Automation (RPA) tools (UiPath Power Automate PyAutoGUI).
- Familiarity with QA automation frameworks (e.g. Selenium Playwright) is a plus.
- A portfolio of relevant projects a GitHub profile showcasing your work or contributions to open-source projects.
Soft Skills:
- Strong problem-solving abilities and attention to detail.
- Excellent communication skills for documentation and collaboration.
- Ability to work effectively in a team-oriented environment.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Unclear Seniority
Key Skills
- Continuous Integration
- APIs
- Automotive software
- Test Cases
- Electrical Engineering
- Junit
- Distributed Control Systems
- Testng
- Java
- Test Automation
- Programmable Logic Controllers
- Selenium
About Company
Robotic Assistance Devices (RAD) is an innovator and provider of artificial intelligence-driven devices and robot solutions for operational, security, surveillance, and monitoring needs.
