Java AI Engineer

Job/Role (Title) Name: Senior  Java  AI Engineer

Work location: Remote

Full Time Role

Job description:

Preferred Skills:

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.