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software engineer

Title posted on indeed.com - Senior Backend Engineer ? AI ML & Ontology Preferred

Posted on September 01, 2026 by Employer details VassuTech

Job details

Job Summary We are seeking a highly experienced *Senior Backend Engineer* to design, develop, deploy, and operate scalable *cloud-native backend services, APIs, integrations, orchestration layers, and business capabilities*. The ideal candidate will have strong expertise in backend technologies such as *Java, Python, .NET, Node.js, or TypeScript*, along with experience in *API-first development, microservices, event-driven architecture, distributed systems, AWS, CI/CD, and automated testing*. Experience with *Ontology, Knowledge Graphs, Semantic Models, Generative AI, LLMs, RAG, or AI Agent development* is highly preferred. In this role, you will build secure and resilient backend services while leveraging *AI coding agents and engineering copilots* to accelerate software development, API integration, testing, and delivery. You will be responsible for ensuring that AI-assisted development outputs meet enterprise standards for *quality, security, scalability, reliability, and production readiness*. Key Responsibilities * Design, develop, test, deploy, and operate *cloud-native backend services and APIs*. * Build business logic, domain services, orchestration layers, workflows, and service composition. * Design and implement *REST APIs, microservices, and distributed systems*. * Develop integrations with *enterprise applications, third-party platforms, data services, pricing/underwriting systems, and AI/agent services*. * Implement *event-driven architecture and asynchronous processing* patterns. * Develop automated *unit, integration, contract, regression, and performance tests*. * Contribute to API standards, reusable engineering patterns, golden paths, and development best practices. * Build and maintain *CI/CD pipelines and infrastructure automation*. * Work with *AWS cloud services, containers, Infrastructure as Code, and automated deployment practices*. * Implement secure application practices including authentication, authorization, secrets management, and API security. * Monitor and support production services, including *incident response, troubleshooting, defect remediation, and performance optimization*. * Collaborate with Business Analysts, Product Owners, Architects, and other engineering teams to translate business requirements into technically executable solutions. * Use *AI coding agents and engineering copilots* to accelerate development while maintaining strong code review, testing, security, and quality practices. * Participate in architecture and code reviews and continuously improve system reliability, scalability, and maintainability. AI & Ontology Responsibilities * Design and maintain *ontologies, taxonomies, business vocabularies, semantic models, and concept relationships* across business domains. * Develop *knowledge graphs, entity relationships, metadata structures, and semantic mappings*. * Build semantic structures that enable AI agents and enterprise systems to understand and reason across business concepts. * Develop *Generative AI and LLM-powered applications* and backend services. * Design and implement *Retrieval-Augmented Generation (RAG)* pipelines and semantic search capabilities. * Develop *AI agent orchestration, prompt strategies, workflows, tool integrations, and reusable AI components*. * Support AI evaluation frameworks to measure *accuracy, relevance, quality, and performance*. * Integrate AI capabilities with enterprise APIs, databases, data platforms, and business workflows. Required Qualifications * *10+ years* of professional software engineering experience. * Strong backend development experience with one or more of: * *Java* * *Python* * *.NET* * *Node.js* * *TypeScript* * or equivalent enterprise technologies. * Strong experience with *API-first development and REST APIs*. * Experience designing and developing *microservices and distributed systems*. * Strong understanding of *event-driven architecture and service orchestration*. * Experience with enterprise system an