Job Specifications
Job Title
AI Systems Engineer / AI Engineer (LLMs & Agents)
Location: Agadir [On-Site]
Experience: 2–5 years
Company: Richdale AI
About Richdale AI
Richdale AI is an applied AI studio dedicated to transforming innovative research into production-ready AI solutions for real-world operational challenges. We specialize in natural language processing, computer vision, and data engineering, delivering automation, analytics, and decision-support tools that create measurable business impact.
We move fast—prioritizing rapid prototyping, strong MLOps practices, and close alignment with business stakeholders. Backed by Richdale Ventures’ global network, we partner with growth-stage and enterprise teams across process automation, customer experience, operations, and risk management.
Role Overview
We are looking for a AI Systems Engineer with 2–5 years of experience to design, fine-tune, and deploy LLM-powered systems and AI agents into real production environments.
This role is ideal for someone who enjoys hands-on building, translating abstract AI capabilities into scalable, reliable, business-critical systems.
What You’ll Do
Design, fine-tune, and evaluate LLMs (open-source and proprietary)
Build and orchestrate AI agents for automation, reasoning, and decision support
Develop RAG pipelines, embeddings, vector search, and tool-calling workflows
Turn prototypes into production-grade services with proper monitoring and logging
Collaborate with product, data, and business teams to translate requirements into AI solutions
Optimize model performance, latency, and cost
Contribute to MLOps pipelines (CI/CD, versioning, deployment, observability)
Stay current with advances in AI Systems Engineer and apply them pragmatically
Required Qualifications
2–5 years of experience in AI / ML / Software Engineering
Strong Python skills and solid software engineering fundamentals
Hands-on experience with LLMs (fine-tuning, prompting, evaluation)
Experience with LangChain, LlamaIndex, or similar agent frameworks
Familiarity with vector databases (FAISS, Pinecone, Weaviate, etc.)
Understanding of API-based model deployment and cloud environments
Comfortable working from prototype to production
Nice to Have
Experience with MLOps tools (MLflow, Weights & Biases, Kubeflow, etc.)
Knowledge of NLP or computer vision
Experience deploying AI systems in enterprise or operational contexts
Familiarity with cost optimization and scalability concerns in LLM systems
What We Offer
Work on real-world, high-impact AI systems
Competitive salary packages
Exposure to both cutting-edge research and production engineering
Fast-moving environment with high ownership
Opportunity to grow into senior or lead AI roles
Access to Richdale Ventures’ global network and enterprise clients
About the Company
Richdale AI is an applied AI studio focused on turning research into production-grade products that solve real operational problems. We build across natural-language processing, computer vision, and data engineering—delivering automation, analytics, and decision-support tools with clear business outcomes. Our approach is pragmatic: rapid prototyping to prove value quickly, then hardening into reliable systems. We invest heavily in MLOps—observability, testing, model/data versioning, CI/CD for ML, and security—so teams can de...
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