Agentic Flows

Kore.ai is a pioneering force in enterprise AI transformation, empowering organizations through our comprehensive agentic AI platform. With innovative offerings across "AI for Service," "AI for Work," and "AI for Process," we're enabling over 400+ Global 2000 companies to fundamentally reimagine their operations, customer experiences, and employee productivity.

Our end-to-end platform enables enterprises to build, deploy, manage, monitor, and continuously improve agentic applications at scale. We've automated over 1 billion interactions every year with voice and digital AI in customer service, and transformed employee experiences for tens of thousands of employees through productivity and AI-driven workflow automation.

Recognized as a leader by Gartner, Forrester, IDC, ISG, and Everest, Kore.ai has secured Series D funding of $150M, including strategic investment from NVIDIA to drive Enterprise AI innovation. Founded in 2014 and headquartered in Florida, we maintain a global presence with offices in India, UK, Germany, Korea, and Japan.

You can find full press coverage at https://kore.com/press/

Technical Lead
Role Description:

An AI/ML Engineering Lead with 6-8 years of experience is sought to spearhead the design, development, and deployment of sophisticated AI/ML solutions. This position necessitates a combination of technical proficiency and leadership acumen to address intricate challenges, develop scalable systems, and implement impactful AI-driven applications. The ideal candidate will possess a demonstrable capacity to convert business requirements into state-of-the-art technical solutions, concurrently mentoring a team of engineers and collaborating with various departments. Prior experience with Generative AI, Large Language Models (LLMs), and contemporary AI frameworks is highly advantageous.

Job Duties and Responsibilities:

Leadership and Team Collaboration

• Lead a team of AI/ML engineers, fostering innovation, knowledge-sharing, and a collaborative work environment.
• Translate business goals and challenges into technical solutions, working closely with stakeholders to ensure alignment and impact.
• Provide technical mentorship on the development and deployment of LLMs and Generative AI systems.

Model Development and Optimization

• Design and implement machine learning models and pipelines for diverse applications such as predictive analytics, NLP,  Evaluation, and AI-drivenincorporate end recommendation systems in the Contact center domain.
• Develop and fine-tune LLMs and Generative AI models for specific use cases, ensuring optimal performance and scalability.
• Leverage frameworks such as LangChain, LlamaIndex, and the RAG (Retrieval-Augmented Generation) framework to build context-aware AI solutions.
• Integrate cutting-edge techniques in generative AI, such as text generation, summarization, sentiment insights, and user and agent intents in a contact center setup

Infrastructure and Deployment

• Build and maintain scalable infrastructure for AI/ML model development and deployment using MLOps best practices.
• Implement production-grade pipelines for Generative AI and LLMs, ensuring low latency and high availability.
• Leverage cloud platforms (e.g., AWS, Azure, Google Cloud) to ensure efficient resource utilization and cost-effectiveness.

Best Practices and Innovation

• Establish and enforce best practices for model development, code versioning, and reproducibility.
• Stay updated with the latest advancements in Generative AI, LLMs, and tools like LangChain and LlamaIndex, Agentic platforms, and incorporate them into projects as appropriate.
• Ensure compliance with ethical AI standards and data privacy regulations.

Required Skills and Experience:

Technical Skills

• Strong programming skills in Python, 
• Hands-on experience with ML frameworks and libraries like TensorFlow, PyTorch, Scikit-learn, or Keras.
• Expertise in working with Generative AI models and LLMs, such as GPT, BERT, or similar architectures.
• Proficiency in frameworks like LangChain, LlamaIndex, and RAG for context-aware AI applications.
• Practical experience with vector databases and semantic search techniques.
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud for AI/ML solutions.
• Knowledge of MLOps tools and techniques for automating the AI/ML lifecycle.

Experience

• 4-6 years of experience in AI/ML engineering with a proven record of deploying solutions in production environments.
• Demonstrated experience in leading projects and collaborating with cross-functional teams.
• Hands-on experience with deploying Generative AI solutions and LLM-based applications.
• Hands-on experience on Kore.ai Bot builder platform, Dialog flow, Cresta, ASAPP, and Master's is an added advantage.

Education Qualification

• Graduate in Engineering OR Master's in Computer Applications

About the role

• Describe the role and team the candidate will be joining

What you'll do

• Describe the specific responsibilities and job functions of the role

Qualifications

• Describe the experience and attributes of the ideal candidate