2 months ago
Responsibilities
- Design, develop, and deploy LLM-powered and generative AI systems.
- Build and optimize agentic pipelines, including orchestration and tool integration.
- Collaborate with teams to identify AI and LLM integration opportunities.
- Architect and maintain scalable, production-grade AI systems using Python and cloud platforms.
- Implement event-driven and asynchronous architectures for high-performance applications.
- Apply prompt engineering and LLM fine-tuning to enhance system performance.
- Stay informed about trends in Generative AI and LLM ecosystems.
- Troubleshoot and optimize AI systems for reliability and scalability.
- Maintain documentation of systems and communicate findings to stakeholders.
Requirements
- Strong programming skills in Python with experience in production-grade systems.
- Experience with Generative AI and LLM-based applications.
- Solid understanding of system design and scalable architectures.
- Familiarity with agentic workflows and orchestration frameworks.
- Understanding of asynchronous processing and distributed architectures.
- Experience with containerization and cloud platforms.
- Strong problem-solving skills and ability to analyze complex systems.
- Excellent interpersonal skills for communicating technical concepts.
- Willingness to learn and adapt to new technologies.
- Minimum of 2 years of experience with Python in production environments.
- At least 5 years of experience in AI/ML, preferably with Generative AI.