Mid Level AI Developer

🔥 8 minutes ago

🇪🇬 Egypt – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Robusta Studio

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Robusta Studio is a tech agency serving a diverse client base across various sectors by implementing digital transformation programs. The company specializes in e-commerce websites, web design, graphic design, mobile app development, and developing web applications. With a team of over 100 consultants, Robusta Studio has a significant presence in the EMEA region, with operational hubs in Egypt and Germany, focusing on digitizing business processes and enhancing digital customer engagement.

📋 Description

• Design and build single- and multi-agent AI workflows with planning, tool use, memory and human-in-the-loop controls • Develop LLM applications on AWS and Azure AI platforms and recommend the appropriate platform and model for each use case • Build RAG pipelines covering data ingestion, chunking, embeddings, vector search and enterprise-data grounding • Integrate agents with internal systems, APIs and SaaS tools using MCP and function/tool calling • Implement evaluation frameworks for quality, accuracy, safety and cost, including regression tests, LLM-as-judge methods and human review • Add responsible-AI controls including prompt-injection defences, content filtering, PII handling, access control and audit logging • Containerise and deploy services with CI/CD and infrastructure as code • Add observability through tracing, logging, latency and token-cost monitoring • Optimise performance, reliability and cost across models, prompts and infrastructure • Mentor engineers, run design and code reviews, and document architectures and decisions • Collaborate with product owners, data teams, security and architecture to take AI use cases from idea to production

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering or a related field (or equivalent experience) • 3+ years of software engineering experience, with 1+ years building LLM or GenAI applications in production • Strong Python skills, plus experience building and operating APIs and services • Hands-on experience building agentic systems with a modern framework (for example LangGraph, LangChain, Microsoft Agent Framework / Semantic Kernel, AutoGen, Strands Agents or CrewAI) • Production experience on at least one of AWS or Azure AI services, and working knowledge of the other • Practical RAG experience with vector databases or search services (for example OpenSearch, Azure AI Search, pgvector or Pinecone) • Experience with cloud fundamentals: containers (Docker, Kubernetes or serverless), networking and identity (IAM / Entra ID), and secrets management • Experience with CI/CD, Git and infrastructure as code (Terraform, Bicep or CloudFormation) • Understanding of LLM evaluation, prompt engineering, and safety and security risks specific to AI systems • Strong communication skills and the ability to explain trade-offs to technical and non-technical stakeholders • Experience with MCP servers, multi-agent protocols (for example A2A), or agent orchestration at scale • Fine-tuning or model customization, and experience with open-source models • Background in a regulated sector such as banking, healthcare or government • Cloud certifications (for example AWS Certified AI Practitioner or Solutions Architect, Azure AI-102 or AZ-204, AZ-400) • Experience with data engineering (Spark, Databricks, Fabric or Glue) and data governance