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Software Engineer Full Stack Intern
2 weeks ago
Company Description
DevNeuron, headquartered in Silicon Valley, USA, and founded by ex-Meta and ex-Google engineers and PhDs, is dedicated to driving innovation in the world through high-quality software solutions. The company has expanded its presence to Pakistan, serving industry leaders like IBM. Our team includes data scientists, software engineers, architects, MBAs, business analysts, and infrastructure management professionals. DevNeuron's advisory board comprises professionals from leading firms, including Google and Microsoft. Our major services include Artificial Intelligence, Web Applications, Mobile Applications, Desktop Applications, Data Analytics Solutions, and Automation Applications.
About the Project and Role
The
Agent Security Evaluator
is an innovative platform designed to assess, monitor, and strengthen the robustness, safety, and reliability of intelligent agents. Our goal is to provide enterprises with a secure, scalable, and transparent system to evaluate agent behavior in real-world and adversarial scenarios.
We are looking for a
Full-Stack Software Engineer Intern
who is passionate about both
web technologies
and
AI development
. You will work across the stack—building user interfaces, scalable APIs, and cloud infrastructure—while also contributing to AI-powered modules that drive agent evaluation and analysis.
Responsibilities
- Build and maintain
frontend dashboards
in
to visualize agent evaluations and results. - Develop
backend APIs
using
FastAPI
for orchestrating evaluations, managing results, and enabling reporting. - Work with
MongoDB
to design schemas, manage evaluation data, and ensure secure data storage. - Containerize and manage services using
Docker
for consistent development and deployment. - Deploy, monitor, and scale infrastructure on
AWS
(EC2, S3, ECS/EKS, Lambda, etc.). - Collaborate on
AI-related features
, such as integrating evaluation pipelines, building security checks, and developing lightweight AI models for threat detection and analysis. - Write clean, modular, and testable code while following best practices in security and performance.
- Document APIs, workflows, and architecture for internal and external use.
Requirements
- Pursuing a degree in Computer Science, Software Engineering, AI/ML, or related field (or equivalent experience).
- Strong programming skills in
Python
and
JavaScript/TypeScript
. - Familiarity with
FastAPI
(or Flask/Django) for backend APIs. - Hands-on experience with
(or React) for frontend development. - Basic knowledge of
MongoDB
and working with document-based databases. - Exposure to
Docker
and containerized development workflows. - Understanding of
AWS cloud services
(or eagerness to learn). - Curiosity and foundational knowledge in
AI/ML concepts
. - Strong problem-solving skills, adaptability, and eagerness to learn in a startup-like environment.
Nice to Have
- Experience with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face).
- Knowledge of
agent systems, LLMs
, or
adversarial testing
. - Familiarity with API authentication and security best practices.
- Experience with CI/CD pipelines (GitHub Actions, GitLab CI, etc.).
- Prior work in AI/ML security or explainability is a plus.
What You'll Gain
- Hands-on experience in
full-stack engineering
and
AI development
. - Exposure to building an
AI security evaluation platform
from the ground up. - Mentorship from experienced engineers and researchers.
- Practical skills in deploying scalable systems on AWS.
- Opportunity to contribute to a mission-driven project at the intersection of
AI, security, and software engineering
.