
AI Architect and Engineer
3 days ago
The Technical Lead will oversee the development and integration of Python-based applications with Large Language Models (LLMs). The successful candidate will have a strong understanding of LLM architecture and experience in designing scalable microservices and APIs for AI features.
- Job Responsibilities:
- Lead the development and integration of Python-based applications with Large Language Models (LLMs).
- Architect and implement LLM pipelines including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation.
- Design scalable microservices and APIs for AI features.
- Collaborate with MLOps teams to deploy and monitor AI models in production.
- Ensure performance optimization, cost efficiency, and security in LLM workflows.
- Guide the team on Python best practices, code reviews, and technical problem-solving.
- Stay updated on emerging AI/LLM advancements and propose adoption where beneficial.
Required Skills and Qualifications:
- Strong Proficiency in Python: Excellent knowledge of Python programming language and its application in LLM development.
- Solid Experience with LLM Integration: Proven experience in integrating LLMs with various applications and services.
- Understanding of RAG Pipelines and Vector Databases: Knowledge of RAG pipeline architecture and vector database concepts.
- Experience with Prompt Engineering and Evaluation Techniques: Experience in developing and evaluating prompts for LLMs.
- Familiarity with Containerization, Orchestration, REST APIs, GraphQL, and Microservices Architecture: Familiarity with containerization, orchestration, and microservices architecture concepts.
- Knowledge of Model Fine-Tuning and Performance Optimization: Knowledge of model fine-tuning techniques and performance optimization strategies.
About the Position:
This is an exciting opportunity to lead the development and integration of Python-based applications with Large Language Models (LLMs). If you have a passion for AI and LLMs, this could be the perfect role for you.
Benefits:
- Opportunity to work on cutting-edge AI projects
- Collaborative and dynamic work environment
- Professional growth and development opportunities
How to Apply:
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