About the role
Experienced AI Software Engineer | Augury Solutions Production Health AI-driven insights to enhance operations, empower teams, and achieve sustainable production. Learn more Machine Health Prevent machine failures and reduce maintenance costs with AI powered by reliability experts. Machine Health Machine Health Solutions Critical Equipment Hazardous Ultra-Low RPM Supporting Equipment Auguscope Use Cases By Industry By Business Goal By Persona By Asset By Industry Food & Beverage Consumer Packaged Goods Metals & Mining Pulp & Paper Glass Chemicals Pharmaceutical Plastics Steel Forest Products Building Materials & Cement Commercial Services Energy Show more By Business Goal Eliminate Unnecessary Downtime Reduce Loss, Waste, and Emissions Maximize Yield and Capacity Optimize Asset Care Transform the Way You Work Show more By Persona Plant Manager IT Maintenance & Reliability VP Manufacturing & Engineering Digital Transformation Supply Chain Process Engineering & Operations Show more By Asset Rotating Equipment Pumps Motors Compressors Bearings Fans and Blowers Gearboxes Chillers Conveyor Extruders Mills Mixers Seamer Show more Why Augury Customer Success Our Customers Our Commitment Success Stories Spotlight Awards Show more Partners Resources Resource Center Blog Events & Webinars Podcasts Videos Collateral Value Calculator Show more Company About Leadership Careers Media Center Support Community In the News Press Releases Show more Pricing Contact us Search for: Log in Get a Demo All Jobs R&D Experienced AI Software Engineer Our mission is to provide manufacturers and other industrial sectors with insights into the health of machines, processes, and operations to transform how people work and what they can create. A leader in Machine Health and Process Health solutions, Augury uses purpose-built AI technology, trained by industry experts and the world’s largest data library, to help companies realize the full potential of their production. Together with our customers, we are pioneering Production Health by removing friction created by competing business goals so companies can improve business outcomes, empower their workforce, and achieve sustainable production- all at the same time. Full-time Haifa, Israel (Hybrid) About The Position You are a Senior AI Software Engineer looking to join a GenAI Infrastructure team and build production-grade GenAI capabilities and the infrastructure behind them. You will be a hands-on engineer focused on AI agents, RAG pipelines, tool-calling workflows, backend services, data access layers, evaluation, observability, and reusable GenAI infrastructure used across product teams. You will not be focused solely on model research or prompt design. Instead, you will be a strong software engineer who can design, build, ship, and operate reliable AI-powered systems in production. A Day In Your Life Build reusable infrastructure, SDKs, and internal frameworks for AI-powered product capabilities. Design and implement AI agents, RAG flows, tool-calling workflows, and LLM orchestration pipelines. Build production-grade GenAI services, APIs, and backend infrastructure. Integrate LLM workflows with internal microservices, data platforms, vector search, and event-driven systems. Design secure data-access patterns that enforce authorization, tenant separation, and user-level scope. Implement evaluation, tracing, monitoring, and quality-control mechanisms for GenAI systems. Improve latency, reliability, fallback behavior, cost efficiency, and production readiness. Work on customer-facing AI experiences, including conversational and proactive agentic product flows. Collaborate with backend engineers, product managers, data engineers, AI/ML engineers, and domain experts. You Will Bring 6+ years of professional software engineering experience. Strong Python development skills. Strong backend engineering background, including APIs, services, integrations, or microservices. Proven experience designing, shipping, or operating LLM-powered applications or GenAI systems. Experience with RAG, AI agents, tool/function calling, prompt orchestration, evaluation, and observability. Experience with microservices, distributed systems, and production backend architecture. Strong understanding of system design, reliability, security, scalability, latency, and maintainability. Ability to work with complex data models and expose them safely through AI systems. Ability to operate in ambiguous technical areas and turn prototypes into production-ready systems. Strong communication skills and ability to explain technical decisions clearly. Preferred