> Markdown version of [/jobs/ext/2425295-java-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2425295-java-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Java AI Engineer - **Company:** Divit Technologies, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Databases, Continuous Integration, DevOps, Distributed Systems, Fault Tolerance, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, NoSQL, RabbitMQ, Redis, Tensorflow, Prometheus, Software Engineering, Data Streaming, Systems Integration, Scripting, Google Cloud, Enterprise Software Applications, Spring Cloud, Pytorch, Istio, Large Language Models, Grafana, Spring-boot, Caching, Generative AI, Backend, Event Driven Architecture, Containerization, Cassandra, Apache Kafka, Graphql, Machine Learning Operations, Api Design, Api Gateway, Dynatrace, Docker, Microservices - **Published:** August 31, 2026 - **Apply:** https://www.dice.com/job-detail/47c2f1cd-23e4-49fa-85e2-155c7968fd5a ## About the Role 10+ years of overall software engineering experience, with a significant focus on Java and microservices architecture. * Strong hands-on experience with Java, Spring Boot, Spring Cloud, and related frameworks for building microservices. * Solid working experience in Python - scripting, automation, backend services, or AI/ML-adjacent development. * Exposure to AI/ML concepts and tools - e.g., integrating LLMs, AI-powered features, model APIs, or ML pipelines into applications. * Proven experience as a Technical Lead or Architect, with a track record of leading and mentoring engineering teams. * Strong understanding of distributed systems concepts - scalability, fault tolerance, caching, messaging (Kafka/RabbitMQ), and eventual consistency. * Experience with containerization and orchestration - Docker and Kubernetes. * Proficiency with cloud platforms (AWS, Azure, or Google Cloud Platform) and cloud-native architecture patterns. * Strong grasp of API design (REST/GraphQL), API gateways, and service mesh concepts. * Experience with CI/CD pipelines, DevOps practices, and infrastructure-as-code. * Solid understanding of databases - both relational (PostgreSQL/MySQL) and NoSQL (MongoDB, Cassandra, Redis). * Excellent communication skills with the ability to advise stakeholders and align technical strategy with business objectives. * Strong problem-solving skills with the ability to troubleshoot complex, production-grade distributed systems. Preferred / Good to Have: * Experience building or integrating Generative AI / LLM-based features into enterprise applications. * Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or similar. * Prior experience in a formal Solution Architect or Enterprise Architect role. * Knowledge of event-driven architecture and streaming platforms (Kafka, Kinesis). * Experience with observability tools - Prometheus, Grafana, ELK/EFK stack, distributed tracing. * Relevant certifications - AWS/Azure/Google Cloud Platform Solutions Architect, or Java/Spring certifications. * Experience working in Agile/Scrum environments and leading sprint-level technical planning. What You Will Bring: * A strategic mindset with the ability to balance technical depth and business pragmatism. * Strong ownership and accountability for technical outcomes and team delivery. * Leadership presence to advise, influence, and align cross-functional and senior stakeholders. * A continuous-learning mindset, staying current with emerging technologies including AI/ML advancements. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Rate-limiting using eBPF and Istio: How to protect your SaaS customers from themselves](https://www.wearedevelopers.com/videos/100220-rate-limiting-using-ebpf-and-istio-how-to-protect-your-saas-customers-from-themselves) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Got AI ideas but no money? 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