Cybersecurity

Arrakis Ventures Limited; Mumbai; On-site; INR 1,800,000 - 3,500,000; Full time

Job summary

Arrakis Ventures Limited seeks an AI/ML & Cybersecurity Engineer to work across the full software lifecycle—from development and AI integration to debugging, deployment, and secure operations.

You will develop AI-enabled applications using Python, FastAPI and REST APIs, while ensuring robust security controls, scalable backend services, and reliable data handling. Strong problem solving and collaboration across teams are essential for success.

Qualifications

• Proficient in Python, AI/ML and cybersecurity practices.
• Experience with building and deploying APIs, databases and AI workflows.
• Good understanding of security, performance and cost optimization.

Responsibilities

• Develop and integrate AI/ML, LLM, RAG and automation-based applications.
• Build backend services, APIs, database systems and automated processes.
• Work with AI/LLM APIs, embeddings, vector databases and document processing.
• Ensure scalable architecture and robust service-to-service communication.
• Write clean, secure, testable code and debug production issues.

Skills

Python

FastAPI

REST APIs

SQL/PostgreSQL

AI/ML

LLM

RAG

Automation

Git

Docker

Linux

Redis

Cloud

Security

Debugging

Tools

LangChain/LangGraph

Ollama

AWS

NGINX

CI/CD

Playwright

OCR

vector databases

security testing

Job description

AI/ML & Cybersecurity Engineer

We are looking for a hands-on *AI/ML & Cybersecurity Engineer* who can work across the complete software lifecycle from development and AI integration to debugging, deployment, infrastructure and security.

AI/ML & Software Engineering 60%

• Strong hands-on experience with *Python, FastAPI, REST APIs and SQL/PostgreSQL*.
• Develop and integrate *AI/ML, LLM, RAG and automation-based applications*.
• Work with LLM APIs, embeddings, vector databases, document processing and AI workflows.
• Build backend services, APIs, database systems and background/automated processes.
• Understand system architecture, service-to-service communication and scalable application design.
• Work with *Git, Docker, Linux, Redis and cloud/server environments*.
• Debug application, API, database, integration and production issues independently.
• Write clean, maintainable, testable and secure code.
• Evaluate AI outputs and improve *accuracy, reliability, performance and cost*.
• Understand when to use traditional programming, databases, search, ML or LLMs for a particular problem.

Cybersecurity 40%

• Strong understanding of *OWASP Top 10 and application/API security*.
• Experience with authentication, authorization, *RBAC, JWT/session security and access control*.
• Identify and fix common vulnerabilities such as SQL injection, XSS, SSRF, CSRF, IDOR and insecure file handling.
• Understand *networking, Linux, servers, firewalls, HTTPS/TLS and secure deployments*.
• Secure APIs, databases, containers, credentials, secrets and internal services.
• Basic understanding of cloud security, IAM, Docker security and infrastructure hardening.
• Understand *AI/LLM security*, including prompt injection, data leakage, insecure tool usage and RAG security.
• Perform security-focused debugging, log analysis and root-cause investigation.
• Implement appropriate *logging, auditing, monitoring, access controls and data protection*.

Expected Profile

• Strong problem-solving and debugging skills.
• Able to understand an existing codebase and work across multiple technologies.
• Capable of taking a feature from *requirement architecture development testing security deployment maintenance*.
• Comfortable working with both application-level and infrastructure-level problems.
• AI coding assistants may be used as productivity tools, but the candidate must *understand the generated code and independently debug and verify it*.
• Strong fundamentals are more important than simply knowing a large number of AI tools or frameworks.

Preferred Experience

• *2–5 years* of relevant experience in AI/ML, backend development, software engineering or cybersecurity.

Experience with *LangChain/LangGraph, Ollama, AWS, NGINX, CI/CD, Playwright, OCR, vector databases, cloud security or security testing* is an advantage.