Job Description

Key Requirements

• Strong engineering and computer-science foundation, including software architecture, backend/frontend development, databases, APIs, integrations, and deployment practices.
• Practical experience using advanced AI development tools such as Claude Code, Cursor, GitHub Copilot, Codex, or similar tools to accelerate planning, coding, debugging, refactoring, and documentation.
• Ability to manage complex development projects end to end, from requirements and technical design through implementation, testing, deployment, documentation, and maintenance.
• Strong understanding of AI/ML concepts, LLMs, prompt engineering, RAG, embeddings, AI APIs, model evaluation, and AI system limitations.
• Ability to translate business and product needs into clear technical solutions and deliver working software with minimal supervision.
• Strong ownership mindset, with the ability to work independently, make responsible technical decisions, and drive tasks to completion.
• Ability to validate AI-generated work, identify risks, and ensure that AI-assisted development does not reduce code quality, maintainability, or security.

Qualifications

• Degree in Computer Science, Software Engineering, AI, Data Science, or equivalent practical experience.
• 3+ years of software engineering experience, preferably with exposure to AI/ML, data pipelines, automation, or intelligent systems.
• Strong Python experience and familiarity with at least one modern backend/frontend technology stack.
• Experience working with APIs, databases, authentication, deployment pipelines, version control, and production environments.
• Familiarity with AI frameworks, LLM APIs, vector databases, evaluation workflows, and model integration.
• Experience using AI coding assistants or agentic development tools as part of daily engineering work.
• Strong documentation, communication, and technical explanation skills.

Main Responsibilities

• Design, build, and maintain AI-powered applications, internal tools, automation systems, and intelligent product features.
• Lead development tasks from concept to production, including technical planning, coding, testing, deployment, and support.
• Use advanced AI tools to accelerate development while maintaining code quality, security, reliability, and maintainability.
• Build integrations with LLMs, AI APIs, machine-learning models, vector databases, and internal/external data sources.
• Create clear technical specifications, implementation plans, and documentation that can be used by both humans and AI coding agents.
• Evaluate AI outputs, validate model behavior, define guardrails, and ensure responsible use of AI in production systems.
• Collaborate with product, R&D, QA, DevOps, and management to convert business goals into working technical solutions.
• Continuously improve development workflows by adopting modern AI-assisted engineering practices.
• Review, debug, and refactor AI-generated or human-written code before production use.
• Monitor production AI systems for performance, accuracy, cost, latency, failures, and user impact.

Key Skills

• Full-stack engineering capability.
• Strong Python and general software-development skills.
• AI-assisted development using tools such as Claude, Cursor, Copilot, Codex, or equivalent.
• System design and software architecture.
• LLM integration, prompt engineering, RAG, embeddings, and AI workflows.
• API development and system integration.
• Database design, data handling, and data quality awareness.
• Testing, debugging, deployment, and production support.
• Strong analytical thinking and problem-solving ability.
• Product thinking and ability to understand business needs.
• Independent ownership and end-to-end delivery mindset.
• Ability to manage AI tools safely, critically, and responsibly.

What we offer

• Competitive salary package
• 13th salary
• Private Health insurance
• Pension Fund
• Employee Benefit Card
• Complimentary Lunch
• A fast-growing and vibrant company
• Great opportunities for career progression

• Exciting company activities, including team-building outings, corporate gatherings, and events

   

Application Instructions:
To apply for this vacancy, please send your CV to careers@mano-security.com quoting “AI/Data Engineer”.

How to Apply

Interested candidates are kindly requested to send their CV to the HR Manager at careers@mano-security.com.

Job Categories

About Company

M.S. Security Group

Founded in 1986, M.S. Security & Personnel has established itself as a trusted leader in the maritime and private security industry. With decades of operational experience, we are committed to delivering reliable, effective, and compliant security services across the globe.

Our operations adhere strictly to the latest industry standards, including the newly issued BMP – Maritime Security (BMP-MS) guidelines, ensuring our teams are fully aligned with current best practices in maritime threat mitigation and crew protection.

From high-risk transit areas to port security and onboard protection, M.S. Security & Personnel provides tailored security solutions backed by a legacy of professionalism, readiness, and integrity.