AI Engineer

Mondia Group

. Implement agent logic, tools, and orchestration against the given architecture .

Posted 11/11/2026full-timeCairo • EgyptMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python software engineering, focusing on building and optimizing LLM and agentic systems. Proficient in Postgres schema design and query optimization, with a strong emphasis on CI/CD practices and observability.

Highest-signal resume keywords

Python ProgrammingLLM / Agentic Systems DevelopmentPostgres Schema DesignCI/CD IntegrationAutomated Software Testing

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Hard Skills

PythonAsync ProgrammingTypingPackagingPostgresQuery OptimizationUnit TestingIntegration TestingFunctional TestingPerformance Testing

Soft Skills

Problem-SolvingDebuggingCollaboration

Tools & Technologies

GitCI/CD SystemsClaude CodeObservability Tools

Industry Keywords

Agent LogicRAG PipelinesTest GenerationEvaluation HarnessesOn-Call Mindset

Tech Stack

Tools & technologies

PostgresPython

About the role

Key responsibilities & impact

Implement agent logic, tools, and orchestration against the given architecture
Build and tune RAG pipelines: ingestion → embeddings → retrieval → re-ranking → evaluation
Design and optimize Postgres schemas, queries, and vector indexes for production load
Build the test-generation and test-execution engine for the AI Code Pipeline
Integrate with Git, CI/CD, and internal services
Build evaluation harnesses, observability, and guardrails so agents are measurable and safe
Own the reliability, latency, and cost of the systems you ship
Write clean, typed, well-tested Python and participate actively in code review

Requirements

What you’ll need

4+ years of professional software engineering in Python, with deep, hands-on command of the language: async, typing, packaging, performance, and clean, maintainable code
1+ years building LLM / agentic systems — tool use / function calling, orchestration, prompting, and evaluation
Strong problem-solving and debugging on ambiguous, real-world production problems
Solid Postgres experience: schema design, query optimization, and extensions (pgvector)
Experience shipping and operating production services — testing, CI/CD, observability, on-call mindset
Comfort with Git-based workflows and code review
Automating software testing: unit, integration, functional, security, performance
Integrating with developer tooling and CI/CD systems
6+ months of demonstrated experience building with Claude Code in a development workflow

Benefits

Comp & perks

Opportunity to work for a dynamic international company with a flat hierarchical structure, where your voice matters and your impact is seen.