Senior AI Engineer – Agent Orchestration, Graph RAG

🔥 1 hour ago

🇵🇰 Pakistan – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 17%

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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HR Ways - Hiring Tech Talent

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

💼 Consulting

📦 Logistics

👥 HR Tech

Consulting • Logistics • HR Tech

HR Ways is a trusted technical recruitment agency specializing in hiring tech talent across various regions, including Dubai, Saudi Arabia, and India. The company focuses on providing a comprehensive range of HR outsourcing services, including recruitment, payroll, background checks, and staff augmentation. With a deep understanding of the tech industry, HR Ways partners with over 300 tech companies globally to help them build top-tier technology teams, ensuring the right fit for each organization. Their expertise and commitment to quality have made them a preferred choice for employers looking to streamline their hiring processes and boost productivity.

📋 Description

• Build and improve agent workflows for claim analysis, retrieval, verification, and response generation • Optimize orchestration, including routing, state management, parallel execution, retries, and failure recovery • Design and optimize graph, SQL, and vector-search queries, indexing strategies, filtering, and reranking • Build reliable knowledge-ingestion pipelines covering validation, entity resolution, deduplication, incremental updates, and re-indexing • Preserve source provenance and citation metadata while keeping graph and vector representations consistent • Reduce response times and cost through profiling, caching, concurrency management, model selection, and efficient context management • Build evaluations and regression checks for retrieval quality, verdict accuracy, citation correctness, and appropriate handling of insufficient evidence • Monitor production systems, investigate failures, and collaborate with product engineers and domain specialists

🎯 Requirements

• 6+ years of professional software engineering experience with substantial ownership of production backend or distributed systems • Experience shipping and operating LLM applications, agent workflows, or RAG systems used by real customers • Strong Python skills, including asynchronous programming, API development, testing, profiling, and debugging • Experience with LangGraph, LangSmith or comparable orchestration systems • Practical knowledge of embeddings, vector search, hybrid retrieval, reranking, and structured model outputs • Strong SQL skills and experience optimizing database queries • Experience building ingestion or ETL/ELT pipelines with validation, retries, incremental processing, and recovery • Demonstrated improvements to production quality, latency, reliability, or cost • Clear communication and the ability to own technical problems from investigation through production delivery • Preferred: Neo4j, Cypher, knowledge modeling, or Graph RAG / Graph database • Preferred: Consumer-facing AI applications • Preferred: Qdrant, PostgreSQL, Supabase, TypeScript, or Next.js • Preferred: Multilingual or Arabic retrieval and evaluation • Preferred: Text, image, audio, or video processing

🏖️ Benefits

• 21 paid working days annually covering vacation, personal, and sick leave • Agreed holidays including major Islamic holidays