MobiMind
Artificial Intelligence Engineer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Jal El Dib, Lebanon
Work mode:
Onsite
Published on:
21 September 2026
What they need
Role Description
We are building the next‑generation AI Platform that empowers businesses with intelligent automation across diverse use cases. As an Artificial Intelligence Engineer, you will be at the forefront of designing, developing, and deploying AI agents that combine reasoning, autonomy, and adaptability. Your work will transform raw data into actionable intelligence, orchestrate workflows, and deliver scalable automation solutions that redefine productivity.
This role is ideal for engineers passionate about LLMs, autonomous agents, and applied AI innovation —with the opportunity to shape a platform that integrates seamlessly into real‑world applications.
Key Responsibilities
- Design, fine‑tune, and deploy LLM‑based AI agents for internal and customer‑facing automation.
- Build end‑to‑end agent pipelines : data ingestion, reasoning, decision‑making, and execution.
- Develop modular AI tools and APIs that extend agent capabilities across domains.
- Integrate agents into production systems, ensuring scalability, reliability, and compliance .
- Collaborate with product and business teams to translate functional needs into autonomous AI solutions .
- Continuously monitor agent performance, implement improvements, and document technical designs.
Qualifications
- Strong foundation in Computer Science and Software Engineering (data structures, algorithms, production‑grade coding).
- Proven experience (3+ years) in AI/ML engineering , with specialization in LLMs, NLP, or autonomous systems .
- Hands‑on expertise with frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain .
- Proficiency in Python (Java or other languages a plus).
- Experience with data preprocessing, model evaluation, and optimization .
- Familiarity with agent orchestration frameworks and retrieval‑augmented generation (RAG) .
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- Strong analytical, problem‑solving, and communication skills, with ability to work cross‑functionally.
Preferred Skills
- Experience building multi‑agent systems or workflow automation platforms.
- Knowledge of cloud AI platforms (Azure ML, AWS SageMaker, Google Vertex AI).
- Understanding of responsible AI principles (bias mitigation, security, compliance).
What We Offer
- Opportunity to lead innovation in AI and automation.
- Work with cutting‑edge technologies to build a scalable AI platform .
- Collaborative environment with strong emphasis on impact and creativity .
- Competitive compensation and growth opportunities.
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