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confidential

AI Engineer

Type:Contract
Location:.
Experience:Senior Level
Posted Date:24-04-2026
Overview
An AI Engineer designs, builds, and deploys artificial intelligence systems that automate tasks, enhance user experiences, and solve complex business problems. They work at the intersection of software engineering and machine learning, focusing on taking trained models into production-ready applications, often utilizing cloud platforms, LLMs, and RAG architectures to create scalable AI-powered products.
Responsibilities
Responsibilities: • Design multi-agent orchestration systems (LangGraph, LangChain, or equivalent) • Build and optimize RAG pipelines (vector databases, embeddings, retrieval quality) • Develop structured LLM outputs & advanced prompt engineering • Create AI-driven features for sales workflows (CRM, pipelines, forecasting, lead scoring) • Integrate AI into booking & reservation systems (availability, scheduling, workflows) • Evaluate LLM system performance (accuracy, faithfulness, memory) • Combine classical ML with LLM-based reasoning when needed • Qualifications: • 5+ years of engineering experience • Strong GenAI engineering experience (LangChain, LangGraph, or similar) • Hands-on RAG experience (pgvector, FAISS, Pinecone, retrieval tuning) • Production-level Python (FastAPI, asyncio, Pydantic) • Experience with multi-agent systems • Structured outputs (JSON schema / function calling) • Strong understanding of sales domains (CRM, pipelines, forecasting, RevOps) • Experience with booking & reservation systems (hospitality/travel platforms) Nice to Have: • Background in Machine Learning (classification, clustering, scikit-learn) • Experience with LLM evaluation frameworks (Ragas or custom evaluations) • Familiarity with CRM platforms (Salesforce, HubSpot) • Exposure to PMS / booking platforms • Knowledge of graph systems or knowledge graphs
Benefits
Details: • Opportunity to transition into a full-time role • Flexible freelance engagement • Work on complex, real-world AI systems • Collaborate with a senior, architecture-focused team • Fully remote environment Interested candidates can send their CV by WhatsApp to: 76 491 905 Send your CV along with relevant projects/portfolio

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