Senior Python AI/ML & Generative AI Engineer

Job Description - Senior Python AI/ML & Generative AI Engineer

Job Title: Senior Python AI/ML & Generative AI Engineer
Location: Sunrise, Florida
Experience: 5+ Years

Job Summary

We are seeking an experienced Python AI/ML and Generative AI Engineer to design, develop, and deploy scalable AI/ML solutions from proof of concept to production. The ideal candidate will have strong programming expertise in Python and Java, hands-on experience with Machine Learning, Deep Learning, Large Language Models (LLMs), and Generative AI frameworks such as LangChain and LangGraph.

The candidate will be responsible for translating business requirements into scalable AI architectures, developing intelligent applications and conversational interfaces, managing the end-to-end model lifecycle, and delivering reliable, secure, and production-ready AI solutions.

The role also requires experience with Spring Boot, microservices, Kafka, CI/CD, and enterprise application development, along with strong technical leadership and stakeholder communication skills.

Key Responsibilities

AI/ML & Generative AI Development

• Design, develop, and implement AI/ML and Generative AI solutions from proof of concept through production deployment.

• Build conversational AI applications, chatbots, and intelligent interfaces using LLMs and frameworks such as LangChain and LangGraph.

• Develop and integrate machine learning and deep learning models to address business requirements.

• Design scalable AI architectures and integrate AI capabilities into enterprise applications.

• Optimize LLM-based applications for performance, accuracy, latency, scalability, and cost.

Model Lifecycle & Production Deployment

• Manage the complete ML lifecycle, including data preparation, model training, evaluation, deployment, monitoring, and retraining.

• Deploy AI/ML models into production using CI/CD pipelines and automated release processes.

• Monitor model performance, data drift, latency, reliability, and resource utilization.

• Implement appropriate model governance, security, compliance, and operational controls.

• Ensure AI solutions are scalable, reliable, maintainable, and production-ready.

Application & Backend Development

• Develop enterprise-grade applications and backend services using Python and Java.

• Build and maintain Spring Boot applications and microservices.

• Develop and integrate REST-based services and APIs.

• Implement event-driven architectures and messaging solutions using Apache Kafka.

• Work with relational and NoSQL databases to support AI/ML applications.

• Apply data structures, algorithms, object-oriented programming, and software design patterns.

DevOps & CI/CD

• Implement and maintain CI/CD pipelines for automated build, testing, deployment, and release management.

• Work with tools such as Jenkins, Git, Maven, and Salt.

• Support automated release management and continuous integration practices.

• Work in Unix/Linux environments and understand web technologies such as and Apache.

• Follow established development standards, version control practices, and deployment procedures.

Technical Leadership & Collaboration

• Lead technical discussions, solution design sessions, and architecture reviews.

• Mentor junior AI/ML engineers and conduct code and design reviews.

• Collaborate with Product Owners, Architects, Program Managers, and cross-functional teams.

• Translate business requirements into technical solutions and communicate recommendations to stakeholders.

• Present technical solutions to business and customer stakeholders.

• Support proposal development, technical estimations, and continuous improvement initiatives.

Required Technical Skills

Programming & Application Development

• Strong proficiency in Python and Java.

• Hands-on experience with Spring Boot and microservices architecture.

• Strong understanding of data structures, algorithms, and design patterns.

• Experience with distributed and multi-tier application development.

AI/ML & Generative AI

• Machine Learning and Deep Learning.

• Generative AI and Large Language Models (LLMs).

• LangChain and LangGraph.

• Conversational AI, chatbots, and conversational interfaces.

• Data analytics and AI/ML application development.

• Model training, deployment, monitoring, and lifecycle management.

Messaging & Databases

• Apache Kafka and event-driven application development.

• Experience with relational and/or NoSQL databases.

DevOps & Development Tools

• CI/CD and Agile development methodologies.

• Jenkins, Git, Maven, and Salt.

• Automated build, testing, deployment, and release management.

• Unix/Linux environments.

• Understanding of and Apache web technologies.

Preferred Qualifications

• Knowledge of contact center ecosystems.

• Familiarity with Genesys Framework and Genesys architecture.

• Experience integrating AI/ML solutions with enterprise contact center platforms.

• Experience leading technical teams and mentoring engineers.

• Strong written and verbal communication skills.

Generic Managerial & Leadership Skills

• Ability to lead technical teams and collaborate with technical and non-technical stakeholders.

• Strong communication, presentation, and stakeholder management skills.

• Ability to influence technical decisions across teams and organizational levels.

• Proactive approach to identifying risks and continuous improvement opportunities.

• Strong documentation, analytical, and problem-solving skills.

Experience Requirements

• 5+ years of experience in software development and AI/ML engineering.

• Strong hands-on Python and Java programming experience.

• Practical experience with Generative AI, LLMs, LangChain, and LangGraph.

• Experience developing enterprise applications using Spring Boot, microservices, and Kafka.

• Experience deploying and maintaining production AI/ML solutions using CI/CD practices.