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Python AIML and Generative AI Engineer
Job Location:
Monthly Salary:
Posted:
5 November 2026 (3 hours ago)
Posted:
Application Deadline:
2 February 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Summary
Design and implement scalable AI/ML solutions from proof of concept through production. Translate business requirements into AI architectures manage the model lifecycle and collaborate with technical and business stakeholders to deliver reliable secure and production-ready solutions.
Must Have Technical/Functional Skills
- Proficiency in distributed and multi-tier systems and application development with strong Python and Java programming skills.
- Hands-on experience with Spring Boot microservices Kafka and relational and/or NoSQL databases.
- Experience with conversational interfaces chatbots machine learning deep learning data analytics large language models LangChain and LangGraph.
- Experience with Agile development continuous integration continuous delivery and CI/CD pipeline tools.
- Experience with automated release management using Maven Salt Git and Jenkins.
- Understanding of web technologies including HTTP and Apache and familiarity with Unix/Linux.
- Understanding of data structures algorithms and design patterns.
- Strong written communication and documentation skills.
- Knowledge of contact center ecosystems and the Genesys Framework and architecture is preferred.
Roles & Responsibilities
- Design and implement AI/ML solutions from proof of concept through production.
- Translate business requirements into scalable AI architectures.
- Own the model lifecycle including training deployment monitoring and retraining.
- Deploy models into production using CI/CD pipelines.
- Monitor model performance drift latency and cost.
- Ensure the reliability scalability security governance and compliance of AI systems.
- Mentor junior AI/ML engineers and review code and designs.
- Lead technical discussions and architecture reviews and provide guidance on best practices and standards.
- Collaborate with Product Owners Architects and Program Managers.
- Present technical solutions to business and customer stakeholders.
- Support proposal development and technical estimations.
