AI Engineer

We are looking for a proactive and technically skilled AI Developer to join our MIS team. In this role, you will lead the development of AI-driven solutions to improve internal business processes across multiple departments. You will work closely with teams across the company to understand their needs and translate them into impactful AI automations and analytics. As the AI expert in the team, you will take ownership of AI initiatives, driving projects from conception to implementation.

What will you do:

• Act as the AI lead within the MIS team, driving AI strategy and initiatives.
• Identify AI opportunities proactively and champion AI adoption within the company
• Collaborate cross-functionally to ensure AI solutions align with business needs and goals.

Examples of Projects We Have Done and Plan to Do:

Support Department:

• Develop a chatbot for our support team, integrating with internal IS and databases.
• Automate ticket replies (starting with internal tickets, then extending to external customer interactions).

Product Team:

• Automate vulnerability information updates within the product.
• Assist developers in matching vulnerabilities effectively.
• Analyze data from multiple internal systems (Salesforce, Planhat, Freshdesk, Jira, etc.) to help product teams prioritize key features.

Sales Team:

• Automate data entry into Salesforce based on sales rep conversations with customers.
• Provide SDRs with AI-driven topic suggestions for customer calls.

Requirements:

• Strong programming skills in Python (including frameworks such as TensorFlow, PyTorch, or scikit-learn).
• Experience with natural language processing (NLP) and chatbot development.
• Covering a wide range of features – from leveraging large language models (LLMs) to enhance the customer investigation experience, to innovative uses of AI for improving business processes (e.g., experience designing multi-step LLM workflows or LLM-based automation of customer-facing processes).
• Proficiency in working with APIs and integrations (Salesforce, Jira, Freshdesk, etc.)
• Knowledge of SQL and NoSQL data bases.
• Experience with LLMs and fine-tuning AI models.
• Hands-on experience in data processing, feature engineering, and ML model deployment.
• Ability to work with cloud services (AWS, GCP, or Azure).
• Strong problem-solving skills and ability to work independently on complex projects.
• Evaluate model in scale

Aqua Security enables enterprises to secure their container-based and cloud-native applications from development to production, accelerating container adoption and bridging the gap between DevOps and IT security. We are building a state-of-the-art security platform for large enterprises in the exciting and innovative field of cloud security. Our systems are deployed on thousands of customer servers worldwide, acting as a distributed system to watch over distributed systems!