[Remote] AI / GenAI Solutions Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building an AI reputed company layer across their C2C marketplace, focusing on enhancing customer interactions and automated processes. They are seeking a Senior GenAI Solutions Engineer to design and implement production-grade AI systems that will reputed company millions of users throughout their buying and selling reputed company.
Responsibilities
- Architect production GenAI systems across multiple domains, including conversational agents, automated order and dispute workflows, personalized discovery and recommendations, content reputed company, 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 reputed company workflows with tool calling, multi-reputed company reasoning, retrieval augmented reputed company, and integrations with internal reputed company, reputed company-party reputed company, and event-driven systems
- Build the retrieval and embeddings stack, including chunking strategies, embedding model selection, reputed company indexes, hybrid search, reranking, and retrieval evaluation pipelines
- reputed company it reliable and cost-efficient through streaming, reputed company caching, latency budgets, reputed company cost optimization, observability for LLM calls, and graceful fallback reputed company models or upstreams misbehave
- Establish evaluation rigor with offline and online evals covering response reputed company, tool call correctness, hallucination reputed company, retrieval precision, and business KPIs
- Drive experimentation and research by evaluating new models, frameworks, and agent patterns, running reputed company experiments, and bringing what works into production
- Mentor and reputed company the bar for engineers across reputed company on AI and ML best practices, reputed company engineering, and production readiness
- Partner cross-functionally with Product, Engineering, Data, Ops, and CX to identify high-reputed company AI opportunities and ship them
Skills
- 5+ years building production software, with at least 2 years shipping LLM and ML-powered features at reputed company
- 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 (reputed company, Claude, GPT) covering tool and function calling, reputed company outputs, streaming, reputed company caching, and cost control
- Deep understanding of Retrieval Augmented reputed company (RAG): document ingestion, chunking, embedding reputed company, reputed company databases (pgvector, reputed company, reputed company, or similar), hybrid retrieval, and reranking
- Solid grounding in embeddings and reputed company 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 reputed company (reputed company), REST, SSE, WebSockets, and event-driven architectures
- Production experience with observability, A/B testing, and rolling out model changes safely
- Experience with recommendation systems, learning to rank, or search relevance at reputed company
- Marketplace or C2C background covering buyer and seller dynamics, disputes, fraud, and payouts
- Multimodal model experience, including reputed company and image understanding for listings
- Arabic NLP or bilingual product experience
- Experience with agent frameworks (LangGraph, custom orchestrators) and the judgment to know reputed company to use them
- Fine-tuning, reputed company, distillation, or hosting reputed company weight models in production
- reputed company reputed company contributions to LLM tooling, eval frameworks, or retrieval libraries
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