Senior Applied AI Engineer

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🕒 December 30, 2025

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Logiciel Solutions | AI-Powered Teams That Feel In-House

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

Logiciel Solutions is an AI-first software engineering firm that embeds high-performing, AI-enabled development teams into client workflows to deliver web and mobile applications, AI agents, and cloud-native systems. They provide services including agentic/autonomous AI and AI agents for product and engineering workflows, MVP and SaaS development, UX/UI design, QA and test automation, data engineering for AI-readiness, and cloud engineering/DevOps (AWS). Logiciel targets tech leaders and product teams across sectors such as Real Estate/PropTech, Healthcare, FinTech/Financial Products, Martech, Construction, and Home Improvement, offering delivery-ready teams, AI-native architecture guidance, and extensive playbooks and whitepapers for engineering and AI adoption.

📋 Description

• Design and implement multi-step agents, reasoning flows, and automation workflows that interact with internal and external systems. • Connect backend services, data sources, and AI components into cohesive systems. • Build functional prototypes and demos to validate ideas. • Mentor backend engineers on AI patterns, workflows, and integration techniques.

🎯 Requirements

• 6–9 years of software engineering experience with strong backend fundamentals. • Proven experience building and shipping applied AI systems or agents in production. • Strong hands-on experience with TypeScript/Node and Python. • Experience with agent frameworks or custom orchestration patterns. • Strong understanding of retrieval workflows, embeddings, chunking, and evaluation methods. • Experience working with vector databases and related tooling. • Decent understanding of underlying infrastructure and production operations i.e LLMOps. • Ability to design and integrate multi-step workflows with external systems and APIs. • Comfortable working from prototype to production with attention to reliability and observability. • Ability to break down ambiguous ideas and propose clear, technically grounded solutions. • Strong communication skills, especially when explaining feasibility and technical trade-offs.