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AI Systems Engineer

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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