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Tech Stack
Tools & technologiesOpen SourcePostgresPythonReactRedisTypeScript
About the role
Key responsibilities & impact- Architect production GenAI systems across multiple domains, including conversational agents, automated order and dispute workflows, 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.
- Establish evaluation rigor with offline and online evals covering response quality, tool call correctness, hallucination rate, retrieval precision, and business KPIs.
- Drive experimentation and research by evaluating new models, frameworks, and agent patterns, running focused experiments, and bringing what works into production.
- Mentor and raise the bar for engineers across the team on AI and ML best practices, prompt engineering, and production readiness.
- Partner cross-functionally with Product, Engineering, Data, Ops, and CX to identify high-leverage AI opportunities and ship them.
Requirements
What you’ll need- 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.
- Solid grounding in embeddings and vector search: dense vs. sparse representations, similarity metrics, indexing strategies (HNSW, IVF), and dimensionality tradeoffs.
- Strong ML and NLP fundamentals: transformer architectures, tokenization, fine-tuning vs. prompting tradeoffs, classification, ranking, and evaluation methodology.
- Experience with scripting and automation for data preparation, model evaluation harnesses, and offline analysis.
- Comfortable with relational databases (PostgreSQL), caching layers (Redis), REST, SSE, WebSockets, and event-driven architectures.
- Production experience with observability, A/B testing, and rolling out model changes safely.
- Nice to Have
- Experience with recommendation systems, learning to rank, or search relevance at scale.
- Marketplace or C2C background covering buyer and seller dynamics, disputes, fraud, and payouts.
- Multimodal model experience, including vision and image understanding for listings.
- Arabic NLP or bilingual product experience.
- Experience with agent frameworks (LangGraph, custom orchestrators) and the judgment to know when to use them.
- Fine-tuning, LoRA, distillation, or hosting open weight models in production.
- Open source contributions to LLM tooling, eval frameworks, or retrieval libraries.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Soum Website LinkedIn All Job Openings 11 - 50 employees Soum is on a mission to reimagine recommerce in the MENA region and beyond, building the most convenient, trustworthy, and transparent recommerce marketplace in the region. AI / GenAI Solutions Engineer 🔥 0 minutes ago 🇵🇰 Pakistan – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 💻 Solutions Engineer Open Source Postgres Python React Redis TypeScript Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Architect production GenAI systems across multiple domains, including conversational agents, automated order and dispute workflows, 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.
- Establish evaluation rigor with offline and online evals covering response quality, tool call correctness, hallucination rate, retrieval precision, and business KPIs.
- Drive experimentation and research by evaluating new models, frameworks, and agent patterns, running focused experiments, and bringing what works into production.
- Mentor and raise the bar for engineers across the team on AI and ML best practices, prompt engineering, and production readiness.
- Partner cross-functionally with Product, Engineering, Data, Ops, and CX to identify high-leverage AI opportunities and ship them. 🎯 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.
- Solid grounding in embeddings and vector search: dense vs. sparse representations, similarity metrics, indexing strategies (HNSW, IVF), and dimensionality tradeoffs.
- Strong ML and NLP fundamentals: transformer architectures, tokenization, fine-tuning vs. prompting tradeoffs, classification, ranking, and evaluation methodology.
- Experience with scripting and automation for data preparation, model evaluation harnesses, and offline analysis.
- Comfortable with relational databases (PostgreSQL), caching layers (Redis), REST, SSE, WebSockets, and event-driven architectures.
- Production experience with observability, A/B testing, and rolling out model changes safely.
- Nice to Have
- Experience with recommendation systems, learning to rank, or search relevance at scale.
- Marketplace or C2C background covering buyer and seller dynamics, disputes, fraud, and payouts.
- Multimodal model experience, including vision and image understanding for listings.
- Arabic NLP or bilingual product experience.
- Experience with agent frameworks (LangGraph, custom orchestrators) and the judgment to know when to use them.
- Fine-tuning, LoRA, distillation, or hosting open weight models in production.
- Open source contributions to LLM tooling, eval frameworks, or retrieval libraries. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs IoT Systems – Integration Engineer 🕒 April 29 Flatgigs 1 - 10 🎯 Recruiter 👥 HR Tech Website LinkedIn All Job Openings IoT Systems & Integration Engineer developing protocol adapters and gateway software for a hardware-agnostic IoT platform. Collaborating with OEM hardware suppliers across multiple countries. 🇵🇰 Pakistan – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 💻 Solutions Engineer AWS Azure Cloud Cyber Security IoT Linux Node.js Python AI Integration Engineer 🕒 April 13 Creative Chaos 201 - 500 🤝 B2B ☁️ SaaS ⚡ Productivity Website LinkedIn All Job Openings AI Integration Engineer responsible for integrating AI models into existing systems and enhancing business capabilities. Collaborating with research, development, and product management teams to deliver scalable AI solutions. 🇵🇰 Pakistan – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 💻 Solutions Engineer AWS Azure Cloud ETL Java Microservices Python PyTorch Scikit-Learn Tensorflow Solution Architect 🕒 February 25 Flatgigs 1 - 10 🎯 Recruiter 👥 HR Tech Website LinkedIn All Job Openings Lead presales and solution architecture for the Egypt office with Atlassian tools. Drive customer success, technical excellence, and deliver outstanding projects. 🇵🇰 Pakistan – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 💻 Solutions Engineer AWS Azure Cloud Linux Multi-Solution Architect 🕒 November 20, 2025 TechBiz Global 51 - 200 🎯 Recruiter Website LinkedIn All Job Openings AEP Multi-Solution Architect designing end-to-end architecture for Adobe Experience Platform modules. Seeking innovative architects to translate business needs into integrated solutions in a remote role. 🇵🇰 Pakistan – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 💻 Solutions Engineer Cloud Solutions Architect 🕒 September 29, 2025 Creative Chaos 201 - 500 🤝 B2B ☁️ SaaS ⚡ Productivity Website LinkedIn All Job Openings Designs solution architectures and produces design documents for implementation teams at Creative Chaos. Ensures designs are followed and developers are trained. 🇵🇰 Pakistan – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 💻 Solutions Engineer View More Solutions Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
PythonTypeScriptReactRetrieval Augmented Generationembedding generationvector databasesML toolingtransformer architecturestokenizationA/B testing
Soft Skills
mentoringcross-functional collaborationproblem framingexperimentationresearch
