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.