aimlroles

AI Engineer

Jobs for Humanity Open · verified Oct 22, 2026
Remote Beirut Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Jobs for Humanity. Remote, Lebanon · full-time.

Pay not stated AI Engineer salary

RoleAI Engineering
SeniorityMid-level
LocationBeirut
WorkplaceRemote
EmploymentFull-time
PostedJul 23, 2026 · 3mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build LLM workflows that handle prompts, context and response assembly
  • Create multi-agent systems and connect them to foundation-model APIs, balancing speed, cost and reliability
  • Add retrieval and memory features so AI responses can use relevant prior context
  • Work with QA to test output quality, coherence and factual grounding
  • Ship product features across the model and application layers, then monitor and improve performance and safeguards

What you bring

  • At least three years in software engineering, including practical work on applications powered by LLMs
  • Strong Python or TypeScript/JavaScript skills, plus experience with LLM APIs, prompt design and agent frameworks
  • Experience with retrieval-augmented generation, vector databases, multi-agent systems and tool or function calling
  • Ability to design API and backend systems, handle asynchronous work, and test variable AI outputs

Who this fits

This mid-level role suits a software engineer who has built LLM applications and wants to work across AI systems and production software. The role is remote and based in Beirut.

From the employer

About the Role

We're looking for an AI Engineer to design, build, and scale the systems that power our AI-driven product. You'll work at the intersection of large language models, multi-agent systems, and production software, turning cutting-edge AI capabilities into reliable, user-facing experiences.

What You'll Do

  • Design and implement LLM-powered pipelines, including prompt engineering, context management, and response synthesis
  • Build and optimize multi-agent orchestration systems where AI components interact, reason, and produce coherent outputs
  • Develop and maintain integrations with foundation model APIs (Anthropic, OpenAI, and others), managing latency, cost, and reliability at scale
  • Implement retrieval-augmented generation (RAG) and memory systems for persistent, context-aware behavior
  • Partner with the Evaluation/QA Engineer to build frameworks that measure output quality, coherence, and factual grounding
  • Collaborate with product and design to translate workflows into robust technical experiences
  • Ship production features across the stack, from the model layer to the application

Monitor, debug, and improve system performance, token efficiency, and guardrails

  • 3+ years of software engineering experience, with hands-on work building LLM-powered applications
  • Strong proficiency in Python and/or TypeScript/JavaScript
  • Experience with LLM APIs, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, or custom orchestration)
  • Familiarity with vector databases and RAG architectures (Pinecone, Weaviate, pgvector, etc.)
  • Understanding of multi-agent systems, tool use, and function calling
  • Experience designing evaluation and testing strategies for non-deterministic AI outputs
  • Solid grasp of API design, async processing, and scalable backend architecture
  • Comfort working in a fast-moving, ambiguous, early-stage environment
  • Experience with real-time streaming (WebSockets, SSE) for conversational interfaces
  • Background in fine-tuning, model distillation, or inference optimization
  • Familiarity with cloud infrastructure (AWS/GCP/Azure) and CI/CD
  • Contributions to open-source AI projects