Responsibilities
- Lead the design and implementation of LLM-powered features in production environments
- Optimize model inference performance and reduce latency in real-time applications
- Collaborate with product and research teams to translate prototypes into scalable solutions
- Evaluate and integrate open-source and proprietary language models
- Develop robust evaluation frameworks for model accuracy and safety
- Maintain high standards for data privacy and ethical AI usage
- Troubleshoot and resolve issues in distributed AI systems
- Contribute to architectural decisions for AI infrastructure
- Mentor junior engineers in best practices for machine learning engineering
- Stay current with advancements in LLM technologies and deployment patterns
- Design pipelines for fine-tuning and domain adaptation of language models
- Implement monitoring tools for model behavior and performance drift
- Work closely with UX teams to ensure natural conversational experiences
- Ensure compliance with data governance and regulatory standards
- Support deployment of models across multiple regions and languages
Nice to Have
- Advanced degree in computer science, artificial intelligence, or related discipline
- Published research or contributions in NLP or LLM conferences
- Hands-on experience with retrieval-augmented generation systems
- Track record of optimizing LLMs for cost and speed efficiency
- Experience with real-time conversational AI platforms
- Knowledge of responsible AI frameworks and bias mitigation
- Contributions to open-source machine learning projects
- Familiarity with observability tools for AI workloads
- Background in customer support or service automation domains
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Remote with flexible scheduling
Team
Collaborative AI and machine learning team within a customer experience technology environment
What We Value
- Technical excellence paired with practical problem-solving
- Ownership of projects from concept to deployment
- Clear communication across technical and non-technical stakeholders
- Commitment to ethical AI development and user trust
Growth Opportunities
- Access to training programs and industry conferences
- Opportunities to lead technical initiatives
- Mentorship roles within the engineering organization
- Involvement in strategic AI roadmap planning
Available for qualified candidates
