Junior R&D Engineer (GEN AI/ML)

Job Purpose:

The Junior R&D Engineer supports the development of designs, prototypes, and implements tools, frameworks, and automation solutions that improve game testing and quality control workflows. Under guidance from the R&D Manager and senior engineers, the role translates validated ideas into functional components and integrations within the QC domain.

IMPACT:

• Develop and integrate automation tools, frameworks, and prototypes into existing testing systems, applying validated R&D concepts.

• Build applied automation solutions across use cases including automation tests, engine-level utilities, and early AI/ML-driven tools, improving test efficiency and reducing manual effort.

• Debug, troubleshoot, and refine R&D solutions, stabilizing functionality and increasing usability for QC teams.

• Deliver iterative development outputs by incorporating feedback and aligning solutions with product and FQC requirements.

• Document technical findings and learnings to strengthen knowledge continuity, reuse, and long-term maintainability.

INNOVATION :

• Evaluate new technical approaches, tools, and frameworks that enhances QA/QC automation, leveraging exposure to automation, engine tooling, and AI/ML concepts.

• Propose improvements to existing automation systems, integrations, and workflows based on hands-on development and debugging experience.

• Build functional components from exploratory prototypes, validating feasibility in real testing environments.

• Analyse moderately complex, multi-dimensional problems, balancing technical feasibility, integration constraints, and QC usability under senior guidance.

KNOWLEDGE :

**Core Competencies**

• Rapid learning agility and motivation to master new concepts

• Analytical problem-solving with creative and structured approaches

• Collaborative communication across cross-functional teams

• Adaptability to evolving priorities and iterative workflows

**Technical Competencies**

• Foundational proficiency in Python for scripting and automation

• Working understanding of AI/ML concepts and Gen-AI/RAG fundamentals

• Knowledge of software development and testing lifecycles

• Familiarity with debugging and troubleshooting techniques

• Exposure to version control systems (e.g., Git)

**Behavioral Competencies**

• Intellectual curiosity and drive to explore emerging technologies

• Proactive teamwork and willingness to collaborate across disciplines

**Nice to Have:**

• Exposure to C++ or C# programming

• Familiarity with CI/CD tools (e.g., Jenkins, TeamCity)