Apply for GE Healthcare Off Campus Drive 2025! Hiring Software Engineer Job in Bangalore for 2+ Years. 2+ years Python/JavaScript experience. Build GenAI-powered tools for penetration testing, threat modeling, and privacy analysis, blending prompt engineering, automation, and secure coding to protect healthcare systems.
Candidates who are interested in GE Healthcare Off Campus Drive Job Openings can go through the below to get more information.
Key Job details of Software Engineer job
Company: GE Healthcare
Qualifications: BE/BTech/IT/Cyber Security
Experience Needed: 2+ Years
Job Req ID: R4031305
Location: Bangalore
Job Description
We are seeking enthusiastic and innovative developers to join our Cybersecurity R&D team. You’ll be part of a dynamic group that builds cutting-edge security and privacy analysis tools powered by generative AI. This role blends prompt engineering, scripting, and app development to create intelligent solutions that support penetration testing and threat analysis and cloud security solutions. If you’re passionate about AI, security, and building tools that make a real impact, we’d love to meet you.
Roles and Responsibilities:
Tool Development & Engineering
- Design and build GenAI-powered tools that support penetration testing, threat modelling, and privacy analysis.
- Develop modular, scalable scripts and applications using Python, JavaScript, or other relevant languages to automate security workflows.
- Integrate LLM APIs (e.g., OpenAI, Azure OpenAI) into internal tools for intelligent automation and analysis.
Prompt Engineering & AI Workflows
- Craft, test, and optimize prompts for various GenAI models to perform tasks like vulnerability triage, report generation, and code analysis.
- Fine-tune prompt strategies for accuracy, consistency, and security relevance.
- Collaborate with security analysts to translate domain-specific needs into effective GenAI interactions.
Security & Privacy Awareness
- Work closely with PEN testers and security researchers to understand real-world attack scenarios and build tools that simulate or defend against them.
- Ensure all developed tools follow secure coding practices and respect privacy principles.
- Stay informed about emerging threats and vulnerabilities that could impact GenAI systems or outputs.
Experimentation & Innovation
- Prototype new ideas using GenAI for use cases like phishing detection, exploit generation, or secure code review.
- Evaluate and compare different GenAI models and frameworks for performance, cost, and suitability.
- Contribute to internal research on the intersection of AI and cybersecurity
Collaboration & Communication
- Participate in agile development cycles, sprint planning, and team stand-ups.
- Communicate technical concepts clearly to both technical and non-technical stakeholders.
- Contribute to knowledge sharing through demos, write-ups, and internal workshops
Education Qualification:
Bachelor’s Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) or IT or cybersecurity with a minimum of 2+ years of experience with programming experience in Python or JavaScript.
Required Qualification:
You should be comfortable writing and refining prompts for large language models, building scripts or tools to support cybersecurity tasks, and collaborating with a team to turn ideas into working prototypes. Any exposure to GenAI frameworks, APIs, or security concepts like OWASP or CTFs will be a big plus.
How to Apply GE Healthcare Off Campus Drive 2025
Click on Apply to Official Link GE Healthcare Belowe – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions
- Describe a tool or script you built to support a security or DevSecOps workflow (e.g., scanning, triage, reporting).
- How would you design a GenAI-powered assistant to help penetration testers prioritize and summarize vulnerabilities?
- Explain how you craft, test, and refine prompts for LLMs to get accurate and security-relevant outputs.
- What risks do you see when using LLMs for code analysis or exploit generation, and how would you mitigate them?
- Describe your experience integrating LLM APIs (OpenAI/Azure OpenAI) into a Python or JavaScript application.
- How would you use GenAI to assist in generating or reviewing threat models for a cloud-based healthcare system?
- Explain key principles from OWASP that you would keep in mind when building GenAI security tools.
- How do you ensure secure coding and privacy-by-design when handling potentially sensitive data in AI workflows?
- Give an example of an experiment you ran comparing different AI models or prompts; what metrics did you use to judge success?
- How do you collaborate with penetration testers or security researchers to turn their pain points into working tools?
Selection Process
- Online application and resume screening focused on 2+ years Python/JavaScript development plus clear interest or exposure to GenAI and cybersecurity.
- Technical interview(s) on programming (Python/JS), system design for tooling, and practical security concepts (OWASP-style issues, basic pentest/CTF understanding).
- Deep-dive round on GenAI: prompt design, LLM API integration, safety/abuse risks, and how to use AI for vulnerability triage, code review, or phishing detection.
- Team fit/behavioral discussion covering collaboration with security analysts, communication to non-technical stakeholders, and comfort working in an R&D, experiment-heavy environment.
Pro Tip
Prepare a small portfolio (GitHub or demos) of:
- One Python/JavaScript tool that calls an LLM API for a security-adjacent use case (e.g., summarizing scan results, generating test payloads, suggesting fixes).
- One example where you explicitly handle safety and privacy (input redaction, prompt guards, output validation).
- Come ready to walk through prompts you’ve iterated on, showing before/after outputs and what changes you made to improve accuracy and reduce hallucinations.
