Soum

Soum is a fast-growing recommerce marketplace redefining buying and selling of used electronic devices in MENA with trust, security, and money-back guarantee.

Household Durables

Consumer Discretionary

11-50 (30)

6 open positions

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AI / GenAI Solutions Engineer

2 weeks, 6 days ago

Egypt, Pakistan

Full-time

Senior

AI (Artificial Intelligence)

Software Development

FastAPI Generative AI GPT LLM Machine Learning PostgreSQL Python React Redis REST API TypeScript WebSockets

Apply Now

Soum

Soum is a fast-growing recommerce marketplace redefining buying and selling of used electronic devices in MENA with trust, security, and money-back guarantee.

Household Durables

11-50

View All Jobs 6

Description

Architect production GenAI systems across conversational agents, workflow automation, personalized discovery, search relevance, content generation, and trust-and-safety use cases.
Own features end-to-end from problem framing and model selection through backend implementation, frontend integration, deployment, evaluation, and monitoring.
Design agentic workflows with tool calling, multi-step reasoning, retrieval-augmented generation, and integrations with internal APIs and external SaaS tools.
Build and maintain the retrieval and embeddings stack, including chunking, embedding selection, vector indexing, hybrid search, reranking, and retrieval evaluation.
Improve reliability and cost efficiency through streaming, prompt caching, latency management, token optimization, observability, and fallback handling.
Establish offline and online evaluation frameworks for response quality, tool-call accuracy, hallucination rate, retrieval precision, and business impact.
Evaluate new models, frameworks, and agent patterns, run experiments, and ship effective approaches into production.
Mentor engineers on AI/ML best practices, prompt engineering, and production readiness.
Partner with Product, Engineering, Data, Operations, and Customer Experience teams to identify and deliver high-leverage AI opportunities.

Requirements

5+ years of production software engineering experience, including at least 2 years shipping LLM- and ML-powered features at scale.
Strong Python skills for backend services, scripting, data pipelines, and ML tooling.
Working ability with TypeScript and React for integrating AI features into product surfaces.
Production experience with major LLM providers such as Gemini, Claude, or GPT, including tool/function calling, structured outputs, streaming, prompt caching, and cost control.
Deep understanding of Retrieval Augmented Generation, including document ingestion, chunking, embeddings, vector databases, hybrid retrieval, and reranking.
Solid knowledge of embeddings and vector search, including dense and sparse representations, similarity metrics, HNSW/IVF indexing, and dimensionality tradeoffs.
Strong ML and NLP fundamentals, including transformer architectures, tokenization, fine-tuning vs. prompting, classification, ranking, and evaluation.
Experience building scripting and automation for data preparation, model evaluation harnesses, and offline analysis.
Comfort working with PostgreSQL, Redis, REST, SSE, WebSockets, and event-driven architectures.
Production experience with observability, A/B testing, and safe rollout of model changes.
Experience with recommendation systems, learning to rank, or search relevance at scale is preferred.
Marketplace or C2C experience covering buyer/seller dynamics, disputes, fraud, and payouts is preferred.
Multimodal model experience, including vision and image understanding for listings, is preferred.
Arabic NLP or bilingual product experience is preferred.
Experience with agent frameworks such as LangGraph or custom orchestrators is preferred.
Experience with fine-tuning, LoRA, distillation, or hosting open-weight models in production is preferred.
Open source contributions to LLM tooling, eval frameworks, or retrieval libraries are preferred.

Interested in this position?

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