AI Systems Engineer
il y a 3 jours
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
-
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