Position: Senior Python Engineer (LLMs Integration)
Company: Unillence
Category: Python
Experience required: 5y
English level: upper

We are seeking a highly motivated and skilled Python Software Engineer who specializes in the integration of Large Language Models (LLMs) and their orchestration into various applications and systems. Our client is a start-up aiming to automate routine SDLC processes using recent advances in LLM technologies. The ideal candidate will have solid experience with Python back-end development and API integration as well as a proven record of integrating various LLMs. We assume both part-time and full-time engagements.

✅**Qualifications:**
- 5+ years of commercial back end development and 2+ years LLM integration experience
- Strong experience developing back-end applications with Python and relative frameworks.
- Proven experience working with Large Language Models (LLMs) such as GPT-3, BERT, or similar.
- Experience in developing and deploying AI solutions in real-world applications.
- Solid understanding of API integration and RESTful services.
- Proficiency in model orchestration and integrating multiple AI models for enhanced performance.
- Familiarity with NLP concepts, techniques, and libraries.

➕**Will be a plus:**
- Experience with cloud platforms such as AWS.
- Knowledge of Docker and containerization for deploying AI models.
- Previous work on chatbots, virtual assistants, or conversational AI systems.

🏆**Responsibilities:**
- Develop orchestration techniques to combine multiple AI models for enhanced performance and results.
- Build scalable and efficient solutions for LLM integration and orchestration.
- Work on pre-processing and post-processing tasks to ensure high-quality output from integrated models.
- Conduct thorough testing and debugging of LLM-integrated systems to ensure accuracy and reliability.
- Collaborate with cross-functional teams to understand project requirements and objectives.
- Document technical designs, processes, and best practices for future reference.

🗣**Recruitment process:**
✅ Recruitment interview → ✅ Client interview