Join Our Mission to Secure the Future

We're building the next generation of cybersecurity solutions. Join a team of passionate experts working to protect critical infrastructure and national security.

Why Join Us

🚀

Cutting-Edge Technology

Work with the latest AI and
cybersecurity technologies

🌍

Flexible Work Environment

Flexible work arrangements with
global collaboration

💎

Competitive Benefits

Competitive salary package

📚

Learning & Development

Continuous learning environment

🤝

Diverse & Inclusive

Building a team that reflects the world
we protect

🛡️

Mission-Driven

Protecting critical infrastructure and
national security

Open Positions

We're always looking for talented individuals to join our team. Check out our current openings and find the perfect role for your skills and passion.

Agentic AI Engineer

Hybrid
Full-time
Competitive Salary Package

The AI Engineers are responsible for developing and implementing advanced agentic AI systems using cutting-edge frameworks and technologies. The role involves designing multi-agent orchestration systems, fine-tuning large language models, and implementing agent-to-agent communication protocols for intelligent automation platforms

Requirements:
  • Advanced knowledge of agentic AI frameworks (CrewAI, Autogen, Langraph, Motia)
  • Proficiency in LLMs, SLMs fine-tuning techniques and model optimization.
  • Technology Stack Experience building with LangChain/LangGraph/LangSmith, AWS Lambda/S3/Gateway/ECR, OpenAI’s API, OpenAI’s Swarm/Agents_SDK, vector databases, fine-tuning, SageWorks, BedRock, Docker
  • Support the development of RAG, CAG and KAG pipelines and integration with vector databases (e.g., FAISS, Pinecone).
  • Strong understanding and experience of Agent-to- Agent (A2A) communication protocols and Model Context Protocol (MCP) and tool integration
Apply Now

MLOPS Engineer

Research & Development
Hybrid
Full-time
Competitive Salary Package
Requirements:

The MLOps Engineer is responsible for deploying, monitoring, and maintaining Agentic AI, Machines Learning systems and AI infrastructure. The role involves managing model deployment pipelines, automated testing frameworks, and scalable infrastructure for AI applications in production environments

  • Advanced knowledge of MLOps tools and automated pipeline frameworks
  • Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift
  • Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)
  • Proficient in leveraging CI and CD tools to automate testing and deployment. Experience working in an Agile DevOps environment.
  • Experience with Cloud platforms (AWS, GCP, or Azure) and ML services (e.g., SageMaker, Vertex AI, MLflow, Kubeflow) and automation solutions (terraform / ansible / others)
  • Knowledge of transfer learning pipeline management and model versioning Ability to optim
Apply Now

Full Stack Developer

Hybrid
Full-time
Competitive Salary Package

Build and maintain secure, scalable infrastructure for our global platform.

Requirements:
  • Expertise in modern JavaScript frameworks (React, Next.js, Vue.js, Angular) and backend technologies (FastAPI, Django, Flask, Node.js).
  • Strong understanding of multi-user application design, session management, and role-based access control (RBAC).
  • Experience implementing real-time collaboration, concurrent user handling, and scalable multi-tenant database design.
  • Knowledge of basic DevOps, database setup, and user management platforms
Apply Now

Application Process

01

Apply

02

Initial Review

03

Interviews

04

Offer

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Agentic AI Engineer

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MLOPS Engineer

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Full Stack Developer

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