Company: Ligadata
Location: Remote (Candidates based in Syria)
Department: Product
Reporting Line: Reports to Sr. Manager – Product Development
Employment Type: Full-Time

About the Role

We are looking for a curious and driven fresh graduate to join our Process Automation & AI Team. In this role, you will contribute to building intelligent AI agents and automated workflows that streamline operations across the company.

You will work alongside experienced engineers and data scientists to design, develop, and deploy end-to-end automation solutions — transforming repetitive manual processes into scalable, intelligent systems. This is a hands-on opportunity to grow quickly, take ownership, and make a real impact.

Key Responsibilities

AI & Automation Development

• Design and build AI-powered agents and automated workflows to optimize business processes.
• Assist in developing AI prototypes for use cases such as alert triage, incident support, and knowledge search.
• Participate in prompt engineering, workflow tuning, and experimentation for AI-driven solutions.

Data & Integration

• Work with internal documentation, SOPs, and historical data to structure knowledge for AI systems.
• Support integration of AI services with internal tools, APIs, dashboards, and workflows.
• Assist with data handling, preprocessing, and structured/unstructured data pipelines.

Testing & Optimization

• Evaluate AI outputs for accuracy, quality, and operational safety.
• Contribute to improving system performance and reliability.
• Support testing and validation of AI use cases.

Collaboration & Documentation

• Collaborate with operations, engineering, and product teams to identify automation opportunities.
• Document AI use cases, technical designs, and lessons learned.
• Participate in sprint planning, code reviews, and agile team processes.

Governance & Best Practices

• Contribute to AI governance practices including traceability and validation.
• Follow engineering standards, coding policies, and deployment practices.

Qualifications & Requirements

Education & Experience

• Bachelor's degree in Computer Science, Data Science, Data Engineering, Software Engineering, or related field.
• 0–3 years of experience (fresh graduates are encouraged to apply).

Technical Skills

• Basic understanding of AI/ML concepts (LLMs, prompt engineering, RAG, or AI workflows).
• Proficiency in Python programming.
• Basic knowledge of APIs, JSON, and system integration.
• Familiarity with SQL and relational databases (NoSQL is a plus).
• Awareness of cloud platforms (AWS, GCP, or Azure).

Other Skills

• Strong analytical and problem-solving abilities.
• Eagerness to learn and grow in a structured engineering environment.
• Good communication skills and ability to explain technical concepts clearly.

Nice to Have

• Experience with LLM frameworks (LangChain, LlamaIndex, AutoGen).
• Exposure to FastAPI, ETL/data pipelines, or backend services.
• Familiarity with Docker, CI/CD pipelines, and Git workflows.
• Experience with vector databases or knowledge retrieval systems.
• Exposure to monitoring tools or operations environments.

Who You Are

• A fast learner with a strong interest in AI and automation.
• Collaborative and able to work across technical and non-technical teams.
• Detail-oriented with structured problem-solving skills.
• Proactive, self-motivated, and comfortable taking initiative.
• Passionate about using technology to improve real-world processes.

What We Offer

• A meaningful first role with real impact on business operations.
• Mentorship from experienced AI and data professionals.
• Access to modern AI tools, platforms, and frameworks.
• A collaborative, innovation-driven team culture.
• Structured onboarding and clear career growth path.