Senior AI Engineer - Agent Orchestration & Graph RAG (Onsite | Remote from Karac
About this role
AboutClient:
Hiring for our client building a consumer application that helps people verify Islamic claims against traceable sources.
About the Role
We are looking for a senior engineer to improve the systems that turn source material into reliable answers, from knowledge ingestion and retrieval to agent orchestration and production performance.
Responsibilities
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.
Required Experience
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 Experience
Neo4j, Cypher, knowledge modeling, or Graph RAG / Graph database.
Consumer-facing AI applications.
Qdrant, PostgreSQL, Supabase, TypeScript, or Next.js.
Multilingual or Arabic retrieval and evaluation.
Text, image, audio, or video processing.
Technical Environment
Python, FastAPI, LangGraph, Neo4j, Qdrant, TypeScript, Next.js, Supabase, and PostgreSQL.
Benefits:
21 paid working days annually covering vacation, personal, and sick leave, plus agreed holidays including major Islamic holidays.
Location: Remote from Karachi
Job Type: Remote
Experience: 5+ Years
Working Days: Monday – Friday
Timings: 9:00 AM–5:00 PM Eastern Standard Time (EST)
About HR Ways:
HR Ways is an award-winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide, ranging from the world's biggest SaaS Companies to the most competitive Startups. We have entities in Dubai, Canada, the US, the UK, Pakistan, India, Saudi Arabia, Portugal, Brazil, and other parts of the world. Join our WhatsApp Channel to to stay updated, or visit www.hrways.co to learn more.
Originally posted on Himalayas
