ai engineer for enterprise AI

ph3Описание: /h3pWorkato delivers enterprise infrastructure for the agentic era, helping enterprises unify data, applications, processes, and AI through a governed cloud-native platform. Its architecture connects applications, data sources, and processes to enable real-time orchestration, automation, and enterprise-wide AI operations. /ph3Задачи: /h3ulliDesign, build, and maintain AI-powered services and APIs using LLMs and custom ML models; /liliDevelop an enterprise-grade agentic framework for orchestration, retrieval, and collaboration between multiple AI agents; /liliImplement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch; /liliWrite structured, efficient, and testable Python code for production services, experimentation, and internal developer tools; /liliBuild and maintain shared Python libraries and SDKs used across applications and microservices; /liliCollaborate with cross-functional teams on architecture, internal protocols, and API standards; /liliDevelop and enhance monitoring, validation, and observability for production-grade AI solutions; /liliDrive the full software development lifecycle from design and implementation to deployment, monitoring, and continuous improvement; /liliIdentify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments; /liliParticipate in code reviews and technical discussions; /liliMentor other engineers and contribute to a culture of excellence; /liliBuild an evaluation and observability framework for AI model performance and reliability; /liliDevelop an agentic orchestration platform for collaboration among multiple AI agents and tools; /liliImplement semantic retrieval and agentic search over large enterprise knowledge bases; /liliDesign AI services that process and reason over high-volume real-world data at scale. /li /ulh3Требования: /h3ulliBachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience; /lili5+ Years of experience as a Software Engineer; /liliStrong proficiency in Python; /liliProven experience building and maintaining production‑grade systems using Python; /liliStrong understanding of distributed systems, API design, and data‑driven architectures; /liliExperience with relational and non‑relational databases, including PostgreSQL, Elastic, Qdrant, or similar; /liliFamiliarity with AI/ML system design, including LLM integration and evaluation pipelines; /liliKnowledge of DevOps and observability practices, including CI/CD, monitoring, metrics, and model validation; /liliExcellent communication skills for conveying complex technical ideas to technical and non-technical audiences; /liliCollaborative and proactive approach, with the ability to work across teams; /liliStrong analytical and problem-solving abilities; /liliCuriosity and genuine interest in emerging AI technologies and modern backend architectures; /liliNice to have: experience with multiple LLM providers, developer platforms or AI infrastructure services, vector databases, semantic retrieval, knowledge graph architectures, Langfuse, LiteLLM, LangChain or similar frameworks, enterprise-scale SaaS or distributed backend systems, open-source contributions in Python, AI, or infrastructure engineering. /li /ulh3Условия: /h3pNo conditions specified /p /p #J-18808-Ljbffr