Lead Software Engineer - JAVA & AI

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 handson experience or exposure to AI/ML technologies. You will work on building intelligent, scalable, and highperformance applications that incorporate AIdriven features to enhance user experience and business outcomes. Key Responsibilities Design, develop, and maintain robust Javabased backend systems and microservices Build and integrate AI/ML models into enterprise applications Develop APIs and services to support AIpowered features like recommendation systems, predictive analytics, chatbots, etc. Collaborate with data scientists and product teams to implement AIdriven solutions Optimize application performance, scalability, and reliability Work with large datasets and data pipelines for AI/ML applications Ensure clean, maintainable, and welldocumented code following best practices Participate in code reviews, architecture discussions, and agile ceremonies Keep uptodate 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 Handson experience with AI/ML libraries or frameworks (e.g., TensorFlow, PyTorch, scikitlearn, or Javabased 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 problemsolving and analytical abilities Behavioral Competencies Strong communication and collaboration skills Ability to work in a fastpaced and agile environment Ownership mindset and attention to detail Continuous learning attitude Nice to Have (Bonus Points) Contributions to opensource projects Experience building AIpowered products at scale Certifications in Cloud or AI/ML 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 handson experience or exposure to AI/ML technologies. You will work on building intelligent, scalable, and highperformance applications that incorporate AIdriven features to enhance user experience and business outcomes. Key Responsibilities Design, develop, and maintain robust Javabased backend systems and microservices Build and integrate AI/ML models into enterprise applications Develop APIs and services to support AIpowered features like recommendation systems, predictive analytics, chatbots, etc. Collaborate with data scientists and product teams to implement AIdriven solutions Optimize application performance, scalability, and reliability Work with large datasets and data pipelines for AI/ML applications Ensure clean, maintainable, and welldocumented code following best practices Participate in code reviews, architecture discussions, and agile ceremonies Keep uptodate 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 Handson experience with AI/ML libraries or frameworks (e.g., TensorFlow, PyTorch, scikitlearn, or Javabased 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 problemsolving and analytical abilities Behavioral Competencies Strong communication and collaboration skills Ability to work in a fastpaced and agile environment Ownership mindset and attention to detail