Python Ai Ml Generative Ai Engineer

Role: Python AI/ML & Generative AI Engineer
Location: Sunrise, FL (Onsite)
Employment Type: Full-Time

Apply By: 1st January 2027

Must-Have Qualifications:

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

• Strong proficiency in Python and Java programming.

• Experience developing distributed and multi-tier systems and applications.

• Hands-on experience with Spring Boot, Microservices, and Kafka.

• Experience with relational and/or NoSQL databases.

• Strong experience with Machine Learning, Deep Learning, Data Analytics, and Large Language Models (LLMs).

• Hands-on experience with Generative AI, LangChain, and LangGraph.

• Experience developing conversational interfaces, chatbots, and AI-powered applications.

• Experience with Agile development, Continuous Integration, Continuous Delivery, and CI/CD pipelines.

• Hands-on experience with automated release management tools such as Maven, Salt, Git, and Jenkins.

• Understanding of web technologies, including HTTP and Apache.

• Familiarity with Unix/Linux environments.

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

• Excellent written communication, technical documentation, and problem-solving skills.

Preferred Qualifications:

• Knowledge of contact center ecosystems.

• Familiarity with Genesys Framework and Architecture.

Roles & Responsibilities:

• Design and implement scalable AI/ML solutions from proof of concept through production.

• Translate business requirements into scalable and reliable AI architectures.

• Manage the complete model lifecycle, including training, deployment, monitoring, and retraining.

• Deploy AI/ML models into production using CI/CD pipelines.

• Monitor model performance, drift, latency, and operational costs.

• Ensure reliability, scalability, security, governance, and compliance of AI systems.

• Mentor junior AI/ML engineers and review code and technical designs.

• Lead technical discussions, architecture reviews, and establish engineering best practices.

• Collaborate with Product Owners, Architects, and Program Managers.

• Present technical solutions to business and customer stakeholders.

• Support proposal development and technical estimations.

• Identify continuous improvement opportunities and drive engineering excellence.