Job Offer: AI Engineer
Location: Remote or Hybrid (US or Global)
Type: Full-Time
Experience Level: Mid to Senior
Department: AI & Product Engineering
About Us
We build production-grade AI systems that deliver measurable business impact. Our work sits at the intersection of SaaS, automation, and applied artificial intelligence, helping companies increase revenue, improve efficiency, and scale intelligently.
We focus on execution, not experimentation. Every system we build is designed to ship, perform, and create value.
Role Overview
We are seeking a pragmatic AI Engineer to design, build, deploy, and optimize real-world AI systems. This role focuses on applied AI, not research.
You will work on AI agents, automation pipelines, predictive models, and LLM-powered systems that integrate directly into products and operational workflows.
Key Responsibilities
- Design and develop AI and machine learning systems for real business use cases (sales, marketing, operations, customer support)
- Build and deploy LLM-powered applications, including RAG systems, AI agents, and workflow automation
- Develop and maintain end-to-end ML pipelines (data ingestion, training, evaluation, deployment)
- Integrate AI solutions into SaaS platforms, APIs, CRMs, and internal tools
- Optimize AI systems for performance, scalability, and cost efficiency
- Collaborate closely with product, engineering, and business teams
- Monitor models in production and continuously improve system reliability and accuracy
Required Skills and Experience
- Strong proficiency in Python
- Solid understanding of machine learning fundamentals
- Hands-on experience with large language models (OpenAI, Anthropic, or open-source models)
- Experience with vector databases such as Pinecone, FAISS, or Weaviate
- Knowledge of RAG architectures, prompt engineering, and agent-based systems
- Experience deploying AI systems in production environments
- Familiarity with cloud platforms such as AWS, GCP, or Azure
- Ability to think in terms of business outcomes, not just technical performance
Nice to Have
- Experience with frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI
- Background in SaaS or AI agency environments
- Knowledge of MLOps, monitoring, and model lifecycle management
- Experience optimizing AI systems for cost control and scalability
- Startup or scale-up experience
Ideal Mindset
- Strong execution and delivery focus
- Practical problem-solving approach
- Comfortable working in fast-moving environments
- Ownership mentality and accountability
- Focused on making AI useful and impactful
Compensation and Benefits
- Competitive salary based on experience
- Performance-based bonuses
- Flexible working hours
- Remote-friendly work environment
- Exposure to real-world, high-impact AI systems
- Clear growth path toward Lead AI Engineer or Head of AI roles
How to Apply
Please submit:
- Your CV or LinkedIn profile
- Examples of AI systems or products you have built or deployed
- Optional: GitHub profile or technical portfolio
Job Type: Full-time
Pay: 40,000.00DH - 45,000.00DH per month