AI / GenAI Solutions Engineer

About This Opportunity

We are representing a confidential e-commerce client in their search for an AI / GenAI Solutions Engineer to join their growing engineering team. This is a remote position based in Pakistan, working Sunday through Thursday, 9:00 AM – 6:00 PM Saudi Arabia Standard Time.

Our client is building AI-native capabilities across their marketplace platform, touching millions of users. You'll architect and ship production-grade GenAI systems that span customer conversations, automated workflows, personalized discovery, fraud detection, and seller tools. This is a high-impact role with broad scope and significant autonomy.

Responsibilities

• Architect production GenAI systems across conversational agents, automated order and dispute workflows, personalized discovery and recommendations, content generation, and search relevance
• 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 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
• Optimize for reliability and cost-efficiency through streaming, prompt caching, latency budgets, token cost optimization, and observability for LLM calls
• Establish evaluation rigor with offline and online evals covering response quality, tool call correctness, hallucination rate, retrieval precision, and business KPIs
• Drive experimentation by evaluating new models, frameworks, and agent patterns, running focused experiments, and bringing proven approaches into production
• Mentor engineers across the team on AI and ML best practices, prompt engineering, and production readiness
• Partner cross-functionally with Product, Engineering, Data, Operations, and Customer Experience teams to identify and ship high-leverage AI opportunities

What We're Looking For

Required:

• 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 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 payments
• Multimodal model experience including vision and image understanding
• Arabic NLP or bilingual product experience
• Experience with agent frameworks (LangGraph, custom orchestrators) and judgment on 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

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will screen your application and conduct an initial interview. Once we've confirmed mutual fit, we'll submit your profile to our client for consideration. Please do not contact the client directly—all communication flows through Get A Job.ai to ensure the best candidate experience.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome candidates from all backgrounds and do not discriminate on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other protected characteristic.