Senior AI Engineer
SafeAeon Inc. (company site, opens in a new tab)ChandigarhOn-siteDirect career pageEst. 18–30 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and develop scalable, secure AI-powered cybersecurity product capabilities using LLMs, Generative AI, RAG, AI agents, and related technologies.
- Lead full software development lifecycle (SDLC) activities including requirements gathering, architecture, development, testing, deployment, monitoring, and production optimization.
- Provide technical leadership through code reviews, architecture guidance, and hands-on implementation focused on cybersecurity data and workflows.
Minimum Requirements
- Strong hands-on experience with Python and production-grade software engineering.
- Proven experience in full-SDLC product development including design, testing, deployment, and monitoring of AI-based systems.
- Expertise with AI technologies including LLMs, RAG, AI agents, embeddings, vector databases, and frameworks such as PyTorch or Hugging Face.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced AI architect capable of independently managing end-to-end development from requirements to production deployment in cybersecurity domain.
- Strong background in backend services, APIs, data pipelines, and secure software development within AI-powered products.
- Familiar with cybersecurity concepts and technologies such as threat analysis, SIEM, EDR/XDR, or automation workflows to align AI capabilities with cybersecurity needs.