AI / GenAI Solutions Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Senior GenAI Engineer responsible for designing and shipping production-grade AI systems across a multi-domain C2C marketplace. You’ll own end-to-end features from problem framing to backend services (Python) and frontend integration (TypeScript/React), build RAG-driven retrieval and embeddings stacks, ensure reliability and cost-efficiency, and mentor peers while partnering with Product, Engineering, Data, Ops, and CX to drive impactful AI initiatives across millions of users.

Location: Egypt, Pakistan

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Architect production GenAI systems across multiple domains, including conversational agents, automated order handling, personalized discovery and recommendations, content generation, search relevance, and emerging use cases.
•Own features end-to-end, from problem framing and model selection through backend services (FastAPI, Python), frontend integration (React, TypeScript), evaluation, deployment, and monitoring.
•Design agentic workflows with tool calling, multi-step reasoning, retrieval augmented generation, and integrations with internal APIs, third-party SaaS, and event-driven systems.
•Build the retrieval and embeddings stack, including chunking strategies, embedding model selection, vector indexes, hybrid search, reranking, and retrieval evaluation pipelines.
•Make it reliable and cost-efficient through streaming, prompt caching, latency budgets, token cost optimization, observability for LLM calls, and graceful fallback when models or upstreams misbehave.

Key Requirements

•5+ years building production software, with at least 2 years shipping LLM and ML-powered features at scale.
•Strong Python for backend services, scripting, data pipelines, and ML tooling.
•Working ability in TypeScript and React for integrating AI features directly into product surfaces.
•Production experience with major LLM providers (Gemini, Claude, GPT) covering tool and function calling, structured outputs, streaming, prompt caching, and cost control.
•Deep understanding of Retrieval Augmented Generation (RAG): document ingestion, chunking, embedding generation, vector databases (pgvector, Pinecone, Weaviate, or similar), hybrid retrieval, and reranking.

Experience:5+ yearsAIGenAILLMNLPMLSoftware engineering

Skills:CommunicationLeadershipProblem-solvingMentoringOwnership

Languages:English

Tech Stack:PythonFastAPIReactTypeScriptLLMGeminiClaudeGPTPgvectorPineconeWeaviateRedisPostgreSQLRESTSSEWebSockets

Company Brief

Soum

Soum is a Saudi digital payments platform offering e-wallet and merchant services to facilitate cashless transactions, peer-to-peer transfers, and payments across the Kingdom.

Industry: Payments

Website

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Soum

2 months ago

AI / GenAI Solutions Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Egypt, Pakistan

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Architect production GenAI systems across multiple domains, including conversational agents, automated order handling, personalized discovery and recommendations, content generation, search relevance, and emerging use cases.
•Own features end-to-end, from problem framing and model selection through backend services (FastAPI, Python), frontend integration (React, TypeScript), evaluation, deployment, and monitoring.
•Design agentic workflows with tool calling, multi-step reasoning, retrieval augmented generation, and integrations with internal APIs, third-party SaaS, and event-driven systems.
•Build the retrieval and embeddings stack, including chunking strategies, embedding model selection, vector indexes, hybrid search, reranking, and retrieval evaluation pipelines.
•Make it reliable and cost-efficient through streaming, prompt caching, latency budgets, token cost optimization, observability for LLM calls, and graceful fallback when models or upstreams misbehave.

Key Requirements

•5+ years building production software, with at least 2 years shipping LLM and ML-powered features at scale.
•Strong Python for backend services, scripting, data pipelines, and ML tooling.
•Working ability in TypeScript and React for integrating AI features directly into product surfaces.
•Production experience with major LLM providers (Gemini, Claude, GPT) covering tool and function calling, structured outputs, streaming, prompt caching, and cost control.
•Deep understanding of Retrieval Augmented Generation (RAG): document ingestion, chunking, embedding generation, vector databases (pgvector, Pinecone, Weaviate, or similar), hybrid retrieval, and reranking.

Experience:5+ yearsAIGenAILLMNLPMLSoftware engineering

Skills:CommunicationLeadershipProblem-solvingMentoringOwnership

Languages:English

Tech Stack:PythonFastAPIReactTypeScriptLLMGeminiClaudeGPTPgvectorPineconeWeaviateRedisPostgreSQLRESTSSEWebSockets

Company Brief

Soum

Soum is a Saudi digital payments platform offering e-wallet and merchant services to facilitate cashless transactions, peer-to-peer transfers, and payments across the Kingdom.

Industry: Payments

Website