5 months ago
Haifa, IsraelSenior
Responsibilities
- 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 enforcing 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.
- Develop customer-facing conversational and proactive agentic product experiences.
- Collaborate with backend engineers, product managers, data engineers, AI/ML engineers, and domain experts.
- Contribute to GenAI architecture, evaluation, monitoring, security, and deployment standards.
Requirements
- At least 6 years of professional software engineering experience.
- Strong Python development skills and a strong backend engineering background involving APIs, services, integrations, or microservices.
- Experience designing, shipping, or operating LLM-powered applications or GenAI systems.
- Experience with RAG, AI agents, tool or 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 turn prototypes into production-ready systems in ambiguous technical areas.
- Strong communication skills and ability to explain technical decisions clearly.
- Preferred experience with LangChain, LangGraph, LangSmith, Go, MongoDB, Databricks, Kubernetes, Docker, REST APIs, vector search, event-driven systems, Azure OpenAI, Gemini, knowledge graphs, GraphRAG, Neo4j, multi-agent systems, internal platforms, SDKs, developer tools, authorization, data segregation, multi-tenant systems, user-level data scoping, or industrial, IoT, predictive maintenance, manufacturing, and operational-data domains.
Benefits
- Stock options.
- Paid parental leave.
- Flex PTO.
Tech Stack
Categories
About Augury
Augury builds industrial AI and IoT systems that monitor machine and process health for manufacturers, using sensors and analytics to predict failures and prescribe actions. It sells a subscription platform with hardware and services to reduce downtime and improve yield across factories. Founded in 2011 and headquartered in New York City, the company serves global manufacturing and industrial operations.