09/10/2026 updated
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AI Systems Engineer | Agentic Systems, RAG, Evals & Backend Infrastructure
Casablanca, Morocco
Worldwide
M.S. Intelligent Systems, System Administration & NetworksPython (Programming Language)PostgreSQLNode.jsRedisTypeScript
Applied AI & LLM Infrastructure
Expertise in building production AI systems including RAG pipelines, multi-agent orchestration, tool execution, LLM evaluations, hybrid search (BM25, vector, semantic), LoRA/QLoRA fine-tuning, LangGraph, and LangChain for end-to-end AI-powered workflows.
Backend Engineering & API Development
Strong background in designing and building scalable backend services using TypeScript, Node.js, Python, FastAPI, and Express, with REST and GraphQL APIs, event-driven architectures, WebSockets, Redis, and RabbitMQ/BullMQ.
Cloud Infrastructure & DevOps
Hands-on experience with Docker, AWS, GCP, GitHub Actions, CI/CD pipelines, Nginx, Grafana, Prometheus, Jaeger, and OpenTelemetry for reliable deployment, monitoring, and observability of distributed systems.
Database & Data Layer Management
Proficiency with PostgreSQL, Supabase, Redis, MongoDB, SQLite, OpenSearch/Elasticsearch, and pgvector for structured and unstructured data storage, retrieval, and vector-based search.
Frontend Development
Experience building user interfaces with React, Next.js, and Tailwind CSS, contributing to full-stack product development across customer-facing applications.
Testing & Security
Knowledge of unit and integration testing, schema validation, simulation, regression checks, and security hardening to ensure production reliability and code quality.
Blockchain & Web3 Development
Familiarity with Viem, Wagmi, wallets integration, Ether.js, Solidity, and EVM chains for building decentralized applications and on-chain execution workflows.
Real-Time Data Pipelines
Experience designing event-driven indexing and WebSocket pipelines for sub-second synchronization of market data, positions, and liquidity in financial platforms.
ML Integration & Productionization
Ability to expose ML model inference through typed REST APIs, integrate results into business workflows, validate model behavior against real user actions, and improve prediction accuracy through iterative refinement.
Expertise in building production AI systems including RAG pipelines, multi-agent orchestration, tool execution, LLM evaluations, hybrid search (BM25, vector, semantic), LoRA/QLoRA fine-tuning, LangGraph, and LangChain for end-to-end AI-powered workflows.
Backend Engineering & API Development
Strong background in designing and building scalable backend services using TypeScript, Node.js, Python, FastAPI, and Express, with REST and GraphQL APIs, event-driven architectures, WebSockets, Redis, and RabbitMQ/BullMQ.
Cloud Infrastructure & DevOps
Hands-on experience with Docker, AWS, GCP, GitHub Actions, CI/CD pipelines, Nginx, Grafana, Prometheus, Jaeger, and OpenTelemetry for reliable deployment, monitoring, and observability of distributed systems.
Database & Data Layer Management
Proficiency with PostgreSQL, Supabase, Redis, MongoDB, SQLite, OpenSearch/Elasticsearch, and pgvector for structured and unstructured data storage, retrieval, and vector-based search.
Frontend Development
Experience building user interfaces with React, Next.js, and Tailwind CSS, contributing to full-stack product development across customer-facing applications.
Testing & Security
Knowledge of unit and integration testing, schema validation, simulation, regression checks, and security hardening to ensure production reliability and code quality.
Blockchain & Web3 Development
Familiarity with Viem, Wagmi, wallets integration, Ether.js, Solidity, and EVM chains for building decentralized applications and on-chain execution workflows.
Real-Time Data Pipelines
Experience designing event-driven indexing and WebSocket pipelines for sub-second synchronization of market data, positions, and liquidity in financial platforms.
ML Integration & Productionization
Ability to expose ML model inference through typed REST APIs, integrate results into business workflows, validate model behavior against real user actions, and improve prediction accuracy through iterative refinement.
Experience
Professional experience5 - 10 years
Freelancer since2022
Languages
ArabicNative speakerEnglishFluent
Project history
Built and operated production RAG and multi-agent systems for website intelligence, project onboarding, and AI-assisted workflows. Designed reusable context and knowledge pipelines, refactored the retrieval and vector-store layer, hardened the AI runtime with timeouts, retries, schema validation, and structured logging, and built observable AI workflows for inspectable agent behavior.
Built an evaluation platform for comparing fixed, overlapping, structure-aware, semantic, and parent-child chunking strategies. Implemented hybrid retrieval with vector search, BM25, metadata filtering, and experiment-level metrics. Instrumented API and retrieval paths with tracing and service metrics. Stack: Python, FastAPI, PostgreSQL, Redis.
Orchestrated Scout, Strategist, Critic, and Arbiter agents for market analysis, strategy generation, risk review, and execution planning with human approval. Kept transaction math and on-chain execution deterministic while using agents only for analysis and decision support. Won 1st place in the ETHGlobal Uniswap track. Stack: Agent orchestration, tool calling, structured outputs.