AI Engineer

We’re looking for a hands‑on AI Engineer to design, build, and operationalize AI‑enabled applications and automation solutions. This role sits at the intersection of cybersecurity, data platforms, and AI innovation , helping teams turn complex operational challenges into secure, scalable, and production‑ready solutions.

🔑 Key Responsibilities

• Develop AI‑enabled applications, agents, workflows, and automation for enterprise use cases.
• Translate operational challenges into testable prototypes and production solutions.
• Integrate AI models with enterprise systems, APIs, data pipelines, and cloud services.
• Establish testing, evaluation, documentation, monitoring, and operational handover practices.
• Apply appropriate safeguards: security, access control, human oversight, and failure handling.

🎯 Must‑Have Skills

• Degree in Computer Science/Information Technology or related field.
• Strong software development experience, especially in Python and modern frameworks.
• Hands‑on experience building LLM applications, agents, retrieval solutions, or orchestration workflows .
• Experience with APIs, data integration, and cloud development (AWS preferred) .
• Working knowledge of DevOps/CI/CD practices : automated testing, version control, containerization, deployment pipelines, diagnostics.
• Strong analytical, problem‑solving, and stakeholder collaboration skills.
• Agile, fast learner, with excellent communication skills.

➕ Good‑to‑Have Skills (any of the following)

• Cybersecurity: vulnerability management, threat intelligence, incident response, detection engineering, red/blue teaming.
• Data & Platforms: data engineering, lakehouse platforms (e.g., Databricks), security data normalization, cross‑source event correlation, full‑stack product development.
• AI Evaluation & Serving: LLM evaluation/benchmarking, model selection/finetuning, inference optimization, GPU infrastructure, local model deployment.