Agentic AI Engineer
At a glance
Mid-level AI Engineering role at Mondia Group. Cairo · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build agent logic, tools and orchestration from the architecture, then connect those systems to Git, CI/CD and internal services
- Create RAG workflows that ingest information, retrieve and rerank results, and measure how well retrieval performs
- Design Postgres schemas, queries and vector indexes for production workloads
- Develop the AI Code Pipeline’s test-generation and test-running engine, with evaluation, observability and safety controls
- Write typed, tested Python and take responsibility for system reliability, latency and cost
What you bring
- At least four years of professional Python software engineering, with practical depth in async work, typing, packaging and performance
- At least one year building LLM or agent systems, including tool use, orchestration, prompting and evaluation
- Strong Postgres skills across schema design, query tuning and pgvector, plus experience operating production services
- At least six months of demonstrated use of Claude Code in a development workflow
Who this fits
This mid-level, onsite role in Cairo suits a Python engineer who has built and operated production services and can work through ambiguous debugging problems. You’ll join a small team and contribute through implementation and code review.
From the employer
We're building production AI agents that change how our engineering org ships code and how employees work with internal knowledge. You'll join a small, high-ownership team. You'll write the agent logic, the tools, the data layer, and the pipelines that make them dependable at scale. Turn architecture into reliable, well-tested, production-grade systems.
Role and Responsibilities :
- 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
- 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
Opportunity to work for a dynamic international company with a flat hierarchical structure, where your voice matters and your impact is seen.