Kore AI Developer
Job Description
Solution Design and Architecture: Lead the design and architecture of Kore.ai solutions, ensuring they align with business objectives and technical requirements.
Technical Leadership: Provide technical guidance and mentorship to development teams, ensuring best practices in AI solution development and deployment.
Integration: Oversee the integration of Kore.ai solutions with existing systems and platforms, ensuring seamless interoperability.
Customization: Customize Kore.ai solutions to meet specific business needs, including developing custom workflows, intents, and integrations.
Performance Optimization: Monitor and optimize the performance of deployed solutions, ensuring high availability, scalability, and efficiency.
Stakeholder Collaboration: Work closely with business stakeholders to understand their requirements and translate them into technical specifications.
Documentation: Create comprehensive technical documentation, including architecture diagrams, integration guides, and user manuals.
Training and Support: Provide training and support to internal teams on the use and maintenance of Kore.ai solutions.
Qualifications
Education: Bachelors or Masters degree in Computer Science, Information Technology, or a related field.
Experience: Minimum of 7 years of experience in software development, with at least 3 years in a technical architect role focusing on AI solutions.
Technical Skills:
- Proficiency in programming languages such as JavaScript, Python, or Java.
- Strong understanding of natural language processing (NLP) and machine learning concepts.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Familiarity with RESTful APIs and web services.
Soft Skills:
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills.
- Ability to work collaboratively in a fast-paced environment.
Preferred Qualifications:
- Experience with Kore.ai platform or similar conversational AI platforms.
- Knowledge of industry-specific use cases for conversational AI in sectors like banking, healthcare, retail, or insurance.