Cybersecurity

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.

The role is approximately *60% AI/ML & software engineering and 40% cybersecurity*, with strong practical knowledge expected in both areas.

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.

Kindly apply only if you meet all the criteria from the above mentioned skills.