Senior AI Agent Engineer
- Compensation
- Not disclosed
- Location
- Cairo, Egypt
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- ● 3+ years of Software Engineering experience, with a background in Python and FastAPI (or similar).
- ● 1+ year of experience specifically focused on LLM-based Agents in a production environment.
- ● Deep Expertise in Agentic Patterns: Proven experience implementing ReAct, Plan-and-Execute, or Multi-Agent Supervisor architectures.
- ● Production Infrastructure: Hands-on experience with modern Vector Databases and Search Engines (e.g., Pinecone, Milvus, Weaviate, Qdrant, Chroma, or pgvector) and semantic caching strategies.
- ● Robustness Mindset: A track record of handling non-deterministic failures (e.g., implementing custom retry logic and fallback strategies for failed tool calls).
Full description
About the Role
We are seeking an
engineer who doesn't just "talk" to LLMs but builds autonomous,
resilient systems. You will design multi-agent architecture that can reason,
use tools, and recover from failures independently.
Your primary goal
is to bridge the gap between "cool demos" and "production-grade
reliability." You will be responsible for deploying agents across various
business sectors (e.g., Finance, Operations, Customer Success), ensuring they are
not only intelligent but also safe, cost-effective, and predictable in a
production environment.
Key Responsibilities
● Agent Orchestration: Design and
implement stateful, multi-turn agent workflows using frameworks like **LangGraph,
CrewAI, AutoGen, PydanticAI, Swarm, Haystack, or Bee Agent Framework**.
● Proactive Reliability & Guardrails: Architect systems
that prevent production meltdowns. Implement circuit breakers,
"human-in-the-loop" triggers, and input/output guardrails to stop
infinite loops, prompt injections, and hallucinated tool calls before they
reach the end user.
● Multi-Sector Tooling: Build and maintain
high-precision API integrations (tools) that allow agents to interact with
diverse business systems (ERPs, CRMs, custom databases) deterministically.
● Observability & Tracing: Set up advanced
tracing (e.g., LangSmith, Langfuse, or Arize Phoenix) to debug complex
reasoning chains and monitor agent trajectories in real-time.
● Rigorous Evaluation (Evals): Develop automated
"Golden Datasets" and evaluation frameworks (using **RAGas,
DeepEval, G-Eval, LangSmith Evaluators, or custom model-based grading**) to
measure agent success rates and prevent regressions before every deployment.
● Cost & Latency Optimization: Manage the
"token budget" by implementing tiered model routing (e.g., using
Gemini 3 Flash for initial reasoning and Ultra for final verification) and
optimizing context window usage.
Requirements
Required Qualifications
● 3+ years of Software Engineering experience, with a background
in Python and FastAPI (or similar).