Senior AI Developer

This is a fully remote position, open to applicants in Egypt.

📋 Description

• Design and develop AI workflows featuring single and multi-agent systems, incorporating planning, tool usage, memory, and human-in-the-loop controls.

• Create LLM applications on AWS and Azure AI platforms while providing recommendations on suitable platforms and models for specific use cases.

• Construct RAG pipelines that encompass data ingestion, chunking, embeddings, vector search, and enterprise data grounding.

• Integrate agents with internal systems, APIs, and SaaS tools utilizing MCP and function/tool invocation.

• Establish evaluation frameworks to assess quality, accuracy, safety, and cost-effectiveness.

• Implement guardrails and responsible AI controls, which include defenses against prompt injection, content filtering, PII management, access control, and audit logging.

• Containerize and deploy services using CI/CD practices and infrastructure as code.

• Enhance observability via tracing, logging, latency, and token-cost monitoring.

• Improve the performance, reliability, and cost-effectiveness of models, prompts, and infrastructure.

• Mentor engineers, perform design and code reviews, and document architectural decisions.

• Collaborate with product owners, data teams, security, and architecture to transition AI use cases from concept to production.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).

• Over 5 years of experience in software engineering.

• At least 2 years of experience developing LLM or GenAI applications in a production environment.

• Proficient in Python.

• Experience in building and operating APIs and services.

• Hands-on experience in creating agentic systems using contemporary frameworks, such as LangGraph, LangChain, Microsoft Agent Framework / Semantic Kernel, AutoGen, Strands Agents, or CrewAI.

• Production experience with at least one of AWS or Azure AI services, along with a working knowledge of the other.

• Practical experience with RAG, vector databases, or search services like OpenSearch, Azure AI Search, pgvector, or Pinecone.

• Familiarity with containers, networking, identity, secrets management, CI/CD, Git, and infrastructure as code.

• Understanding of LLM evaluation, prompt engineering, and AI-specific safety and security risks.

• Strong communication skills, with the ability to articulate trade-offs to both technical and non-technical audiences.

• Experience with MCP servers, multi-agent protocols, agent orchestration at scale, fine-tuning, model customization, open-source models, regulated sectors, data engineering, data governance, or mentoring/leading small teams is a plus.

• Cloud certifications are an added advantage.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunity for professional growth and development.

• Flexible working hours and remote work options.

• Health, dental, and vision insurance.

• Retirement savings plan with company matching.