Java Engineer with AI
Role details
Job location
Tech stack
Job description
We are seeking a highly skilled Java Engineer with AI expertise to design, develop, and deploy intelligent, scalable applications. You will work at the intersection of backend engineering and artificial intelligence, building systems that integrate machine learning models, data pipelines, and cloud-native services., * Design, develop, and maintain high-performance Java-based applications
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Integrate AI/ML models into production-grade backend systems
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Build RESTful APIs and microservices using modern Java frameworks
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Collaborate with data scientists to deploy and scale machine learning solutions
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Optimise system performance, scalability, and security
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Implement CI/CD pipelines and ensure high code quality standards
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Work with cloud platforms to deploy AI-powered services
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Contribute to architecture decisions and technical roadmaps
-
Design, develop, and maintain high-performance Java-based applications
-
Integrate AI/ML models into production-grade backend systems
-
Build RESTful APIs and microservices using modern Java frameworks
-
Collaborate with data scientists to deploy and scale machine learning solutions
-
Optimise system performance, scalability, and security
-
Implement CI/CD pipelines and ensure high code quality standards
-
Work with cloud platforms to deploy AI-powered services
-
Contribute to architecture decisions and technical roadmaps
Requirements
You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values, * Strong experience with Java 12+, Spring Boot, and microservices architecture
- Experience integrating AI/ML solutions into backend systems
- Understanding of REST APIs, distributed systems, and database design
- Familiarity with SQL and NoSQL databases
- Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure)
- Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes
- Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries)
- Strong problem-solving and communication skills, * Experience with NLP, computer vision, or recommendation systems
- Familiarity with MLOps practices and model lifecycle management
- Knowledge of event-driven architectures (Kafka or similar)
- Experience with DevOps tooling and infrastructure as code
- Exposure to Generative AI and large language models
Benefits & conditions
What We Offer:
- Competitive Salary
- Bonus Scheme
- Private Healthcare Insurance
- 25 Days Annual Leave + Bank Holidays
- Up to 10 days allocated for development training per year
- Enhanced Parental Leave
- Paid Fertility Leave (5 Days)
- Statutory & Contributory Pension
- EAP with Help@Hand
- Gym Membership Benefits
- Flexible Working
- Annual Away Days/Company Socials
