Software Development Engineer 3-Java & AI

UKG; Dadri; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

UKG is seeking a highly motivated Java Engineer with AI capabilities to join our engineering team. The candidate will drive backend development in Java, with hands-on exposure to AI/ML technologies.

You will build intelligent, scalable applications that leverage AI-driven features to enhance user experience and business outcomes. Key responsibilities include designing Java-based backend systems and microservices, integrating AI/ML models, and developing APIs to support AI-powered features such

Qualifications

• 4+ years of Java development experience with backend focus.
• Strong knowledge of Spring Boot and microservices.
• Experience with RESTful APIs and distributed systems.
• Hands-on experience with AI/ML libraries or frameworks.

Responsibilities

• Design, develop, and maintain Java-based backend systems and microservices.
• Build and integrate AI/ML models into enterprise applications.
• Develop APIs and services to support AI-powered features.
• Collaborate with data scientists and product teams on AI solutions.
• Optimize performance, scalability, and reliability across services.
• Work with large datasets and data pipelines for AI/ML apps.
• Ensure clean, maintainable code following best practices.
• Participate in code reviews and agile ceremonies.

Skills

Java development

Spring Boot

Microservices architecture

RESTful APIs

AI/ML libraries

Cloud platforms

Docker/Kubernetes

Data structures & algorithms

SQL/NoSQL databases

NLP / conversational AI

Big data tools

Tools

TensorFlow

PyTorch

scikit-learn

Job description

We are looking for a highly motivated Java Engineer with AI capabilities to join our engineering team. The ideal candidate will have strong backend development expertise in Java along with hands-on experience or exposure to AI/ML technologies.

You will work on building intelligent, scalable, and high-performance applications that incorporate AI-driven features to enhance user experience and business outcomes.

Key Responsibilities

• Design, develop, and maintain robust Java-based backend systems and microservices
• Build and integrate AI/ML models into enterprise applications
• Develop APIs and services to support AI-powered features like recommendation systems, predictive analytics, chatbots, etc.
• Collaborate with data scientists and product teams to implement AI-driven solutions
• Optimize application performance, scalability, and reliability
• Work with large datasets and data pipelines for AI/ML applications
• Ensure clean, maintainable, and well-documented code following best practices
• Participate in code reviews, architecture discussions, and agile ceremonies
• Keep up-to-date with emerging technologies in AI, ML, and backend engineering

Required Skills & Qualifications

• 4+ years of experience in Java development (Java 8 or above)
• Strong knowledge of Spring Boot, Microservices architecture
• Solid understanding of RESTful APIs and distributed systems
• Hands-on experience with AI/ML libraries or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, or Java-based ML tools)
• Experience integrating AI services (NLP, recommendation engines, prediction models, etc.)
• Familiarity with data structures, algorithms, and design patterns
• Experience with databases (SQL/NoSQL such as MySQL, PostgreSQL, MongoDB)
• Exposure to cloud platforms (AWS/Azure/GCP)
• Understanding of containerization (Docker/Kubernetes)

Preferred Qualifications

• Experience in HR Tech / Workforce Management systems (UKG, Workday, SAP SuccessFactors, etc.)
• Knowledge of Natural Language Processing (NLP) or conversational AI
• Experience working with big data tools (Spark, Hadoop, Kafka)
• Familiarity with MLOps practices and model deployment
• Exposure to Generative AI / LLM integrations (OpenAI, Azure OpenAI, etc.)
• Strong problem-solving and analytical abilities

Behavioral Competencies

• Strong communication and collaboration skills
• Ability to work in a fast-paced and agile environment
• Ownership mindset and attention to detail
• Continuous learning attitude

Nice to Have (Bonus Points)

• Contributions to open-source projects
• Experience building AI-powered products at scale
• Certifications in Cloud or AI/ML