Mid Level AI Developer

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

📋 Description

• Create and develop AI workflows that utilize single and multi-agent systems, incorporating planning, tool usage, memory, and human-in-the-loop features.

• Design LLM applications on AWS and Azure AI platforms, providing recommendations for the most suitable platform and model for each specific use case.

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

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

• Establish evaluation frameworks that assess quality, accuracy, safety, and cost, including regression tests, LLM-as-judge methodologies, and human review processes.

• Implement responsible-AI measures, such as prompt-injection defenses, content filtering, PII management, access control, and audit logging.

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

• Enhance observability through tracing, logging, latency assessment, and monitoring token costs.

• Optimize performance, reliability, and cost-effectiveness across models, prompts, and infrastructure.

• Mentor engineering teams, conduct design and code reviews, and document architectural decisions.

• Work collaboratively 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 professional experience).

• Over 3 years of experience in software engineering, including at least 1 year focused on developing LLM or GenAI applications in a production environment.

• Proficient in Python, with hands-on experience in building and managing APIs and services.

• Practical experience in developing agentic systems using a contemporary framework (such as LangGraph, LangChain, Microsoft Agent Framework/Semantic Kernel, AutoGen, Strands Agents, or CrewAI).

• Production-level experience with at least one of the AWS or Azure AI services, along with familiarity with the other platform.

• Direct experience with RAG methodologies involving vector databases or search services (e.g., OpenSearch, Azure AI Search, pgvector, or Pinecone).

• Knowledge of cloud fundamentals, including containers (Docker, Kubernetes, or serverless), networking and identity management (IAM/Entra ID), as well as secrets management.

• Familiarity with CI/CD practices, Git, and infrastructure as code tools (such as Terraform, Bicep, or CloudFormation).

• Understanding of LLM evaluation, prompt engineering, and the safety and security risks associated with AI systems.

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

• Experience with MCP servers, multi-agent protocols (e.g., A2A), or large-scale agent orchestration.

• Skills in fine-tuning or customizing models, along with experience in working with open-source models.

• A background in a regulated industry such as banking, healthcare, or government.

• Relevant cloud certifications (e.g., AWS Certified AI Practitioner or Solutions Architect, Azure AI-102 or AZ-204, AZ-400).

• Experience in data engineering (Spark, Databricks, Fabric, or Glue) and data governance.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance plans.

• Opportunities for professional development and ongoing education.

• Flexible work hours and remote work options.

• A collaborative and innovative work environment.