
Software Engineer Intern (Position located in Bangalore, India)
About KnowBe4
Join the cybersecurity company that puts security first; literally and without compromise. At KnowBe4, our AI-driven Human Risk Management platform empowers over 70,000 organizations worldwide to strengthen their security culture and transform their workforce from their biggest vulnerability into their strongest security asset. As the undisputed industry standard with unusually high customer retention rates and recognition as a Leader by G2 and TrustRadius, we're not just providing security awareness training - we're redefining what it means to be a trusted security partner in an increasingly complex threat landscape.
Our team values radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves. Whether working remotely or in-person, we strive to make every day fun and engaging; from team lunches to trivia competitions to local outings, there is always something exciting happening at KnowBe4.
Please submit your resume in English.
Location: Bangalore, India (Hybrid)
Team: AI Engineering - Human Risk Management Platform
Duration: 6 months (January 2026 – June 2026)
What You’ll Be Building
At KnowBe4, we recognize that cybersecurity has always been a human problem. Our Human Risk Management platform uses intelligent, adaptive systems to help people and AI agents recognize and respond to threats, turning human behavior from the weakest link into the strongest defense.
As a Software Engineer - Intern, you’ll help in developing new AI and data powered products and features for KnowBe4’s platform, collaborating with other engineers in a fast-paced, agile development environment.
What You’ll Do
● AI Development: Build and integrate AI-powered backend features that adapt and learn in production.
● APIs & Pipelines: Extend APIs and data workflows that connect models to real users.
● LLM Integration: Apply best practices in prompt/context design, orchestration, and RAG.
● NLP: Proficiency in NLP techniques for text analysis, sentiment analysis, entity recognition, and topic modeling.
● Data Science & Machine Learning: Understand and analyze data, perform EDA, build comprehensive features. Work with unsupervised Learning, Random Forest, XGBoost
● Collaboration: Partner with senior engineers and product teams to deliver secure, scalable systems.
● Craftsmanship: Write clean, tested code and uphold best practices for reviews and deployment.
● Growth: Keep learning! Share ideas, explore new AI tools, and raise the bar for the team.
What You Bring
You’re the kind of engineer who loves learning new technologies, takes pride in code quality, and wants to build and own high-quality production AI systems at scale.
● Pursuing a Master’s or Bachelor’s Degree in Computer Science or equivalent with electives/specialization in AI/Data Science/Machine learning.
● Strong Python skills and experience with modern web/API frameworks such as FastAPI or Flask.
● Curiosity for AI/ML - you’ve explored LLMs, orchestration frameworks, or retrieval-augmented generation (RAG).
Bonus points if you have:
● Experience with data processing tools (PySpark, Pandas, or Polars).
● Fine-tuning experience: you've adapted models like DeBERTa, BERT, or RoBERTa for domain-specific tasks
● Familiarity with CI/CD pipelines (we use GitLab) and infrastructure-as-code (we use Terraform).
● A habit of turning new discoveries into reusable knowledge for the team.
The Tech You’ll Work With
AI & LLMs: Anthropic Claude · AWS Bedrock · OpenAI · HuggingFace · PyTorch · LangChain · LangGraph · DeBERTa · BERT · RoBERTa · HuggingFace· XGBoost · scikit-learn
Backend & Data: Python · FastAPI · Pydantic · PySpark · Polars · Parquet · DynamoDB · S3 · PostgreSQL/MySQL
Cloud & Infra: AWS Lambda · Batch · Glue · SageMaker · EventBridge · Terraform · GitLab CI/CD
Why This Team
● Impact with purpose - build AI that protects people, not just data.
● Collaborative culture - small, high-ownership teams that ship fast and learn together.
● Modern stack - Bedrock, LangGraph, FastAPI, PyTorch. We build with what’s next, not what’s safe.
● Transparency and trust - radical candor, low ego, high accountability.
● Global scale - your work will help protect users across 70,000+ organizations.
Benefits & Perks
● Competitive compensation
● A vibrant newly built state-of-the art office
● Inclusive, collaborative culture that values creativity and experimentation
Ready to Join Us?
If you’re passionate about building the systems that make AI safe, scalable, and genuinely useful, come help us protect people from the threats technology alone can’t solve.
Our Fantastic Benefits
Note: An applicant assessment and background check may be part of your hiring procedure.
Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation.
No recruitment agencies, please.
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