The Role
We are seeking an experienced Generative AI Engineer to lead the development of AI-powered chatbot and automation solutions. You will be responsible for building AI-driven user experiences, fine-tuning LLM models, and optimizing chatbot performance for customer engagement and internal workflows. This role requires a strong background in Python or Java, AI model deployment, and prompt engineering.
Key Responsibilities
AI Solution Development & Implementation
- Lead the design and development of generative AI solutions from strategy to execution.
- Design and implement customer-facing chat experiences, including:
- Personalized product recommendations.
- Chatbots for account management, billing, purchasing, and order status.
- AI agents for internal workflow automation.
- Develop and maintain backend services supporting AI functionalities in Python or Java.
- Fine-tune LLM models for real-world applications, improving accuracy and performance.
- Deploy and monitor chatbot solutions, ensuring stability, scalability, and user experience.
Quality Assurance & Optimization
- Develop frameworks to test, validate, and improve chatbot performance and response accuracy.
- Conduct AI model performance evaluations and apply prompt engineering techniques to refine interactions.
Collaboration & Process Improvement
- Work closely with cross-functional teams to define AI use cases and align solutions with business goals.
- Participate in agile sprints, ensuring efficient execution of AI development tasks.
- Establish documentation, best practices, and training for AI-powered systems.
Required Skills & Experience
- 1+ year of hands-on experience with LLM models, including deployment, fine-tuning, and integration.
- 5+ years of experience in backend software development.
- Strong programming skills in Python or Java.
- Experience working with AI model architectures like AutoGen, MetaGPT, CrewAI, LangGraph, and Semantic Kernel.
- Proficiency in prompt engineering for optimizing chatbot and AI model responses.
- Experience deploying AI chatbots using Dialog Flow, Rasa, Microsoft Bot Framework, or Wit.ai.
- Understanding of data science concepts for AI model evaluation and performance tracking.
Nice to Have
- Experience with cloud-based AI deployments (AWS, GCP, or Azure).
- Familiarity with AI safety measures and ethical AI development.
- Hands-on experience with AI-driven automation tools for workflow optimization.
What We Offer
- Competitive Salary
- Remote Work Opportunities
- Flexible Work Hours
- Professional Development & Training
If you're excited about the potential of AI-driven solutions and have the expertise to drive innovation in chatbot and automation technologies, apply today!