Senior Software Engineer – AI Engineering

Job not on LinkedIn

🔥 1 minute ago

🇮🇱 Israel – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Logo of Growthspace

Growthspace

51 - 200 employees

Founded 2018

💼 Consulting

📣 Marketing

🏥 Healthcare

Consulting • Marketing • Healthcare

Growthspace is a Precision Skill Development platform that utilizes AI technology to match individuals and teams with domain experts for tailored skill development. The platform offers personalized skill-building journeys, internal mentoring, workshops, and team development solutions for high-potential employees, leadership, and DEI initiatives. With a global network of over 2,800 experts, Growthspace aims to identify skill gaps and automate program execution for measurable talent growth across organizations.

📋 Description

• Own a domain end to end, designing, developing, and operating backend services and core system components in production • Set technical direction and responsibility for quality and evolution of the domain • Lead initiatives from ideation through production by identifying opportunities, shaping solutions, coordinating contributors, and delivering outcomes • Build and productize AI-powered features, including agents, assistants, and automation workflows • Design agent creation and orchestration with multi-step flows, tool/function calling, state management, guardrails, and fallbacks • Craft and refine prompts and retrieval pipelines, and evaluate quality systematically • Collaborate with product to translate ambiguous business needs into technical solutions, scope MVPs, and connect technical decisions to user value • Use AI coding tools in daily development while remaining accountable for shipped work • Review human- and AI-written code for correctness, security, and maintainability • Run proofs of concept, explore new models and tools, and turn promising approaches into team practices • Mentor other engineers through technical challenges

🎯 Requirements

• 5+ years of experience in backend software development • A structured, methodical approach to prompt engineering and AI-assisted development, with deliberate iteration and output quality measurement • Strong background working with relational databases and data modeling in production systems • Hands-on experience building with LLMs in production, including model APIs, structured outputs, and creating or orchestrating agents and multi-step workflows • Experience handling LLM failure modes, latency, and cost • Strong background in distributed systems and system design • Solid grasp of design patterns, algorithms, and data structures • Experience with CI/CD pipelines and Agile methodologies • Familiarity with cloud environments (GCP, Azure) • English at a professional level, B2 or higher • Advantages: strong production experience with Node.js and TypeScript • Advantages: experience with RAG systems, including chunking strategies, embeddings, vector search, and retrieval quality tuning • Advantages: experience with formal LLM evaluation frameworks, including eval sets, prompt regression testing, and automated quality metrics • Advantages: multi-tenant SaaS experience or deep third-party API integration experience, including webhooks, idempotency, and rate limits • Advantages: experience with Angular 17+ or other modern frontend frameworks

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