Backend Systems Engineer
4 days ago
**Job Description:**
We are a global tech startup with offices in Germany, India, and the UAE. We are looking for someone with a startup spirit who wants to join a truly global organization and help build innovative technology globally.
About Us:
- We are a growing tech company with a focus on AI-driven applications.
- We develop scalable, efficient, and secure backend systems to support our projects.
- We integrate Large Language Models (LLMs) into our services to improve performance and reliability.
Responsibilities:
- Develop Robust Backend Systems: Design and implement scalable, efficient, and secure backend systems to support AI-driven applications.
- Integrate LLMs: Seamlessly integrate LLMs into backend services, ensuring high performance and reliability.
- Fine-tune and Optimize Models: Continuously fine-tune and optimize LLMs to meet specific project requirements.
- Build and Maintain APIs: Develop high-performance APIs to facilitate interaction with LLMs and other backend services.
- Conduct Code Reviews: Ensure the quality, scalability, and maintainability of code through thorough reviews.
- Evaluate and Test Technology Stacks: Experiment with and assess various technology stacks to identify the best tools for project needs.
- Support Research Initiatives: Assist in evaluating and implementing cutting-edge research in AI and NLP.
- Performance Testing: Analyze and optimize the stability and performance of models like LLAMA3.1/LLAMA3.2.
- Contribute to System Architecture: Play a pivotal role in designing the architecture for systems combining AI, DevOps, and software engineering principles.
Qualifications:
- Strong Python Skills: Advanced proficiency in Python, with a focus on backend development.
- Experience with LLMs: Hands-on experience in setting up, fine-tuning, and integrating open-source LLMs into applications.
- Backend Development Expertise: Familiarity with frameworks such as Flask, FastAPI.
- API Development: Proven experience in building and scaling APIs.
- Knowledge of AI Feedback Systems: Understanding of RLHF and related AI training methodologies.
- Familiarity with Data Science Tools: Knowledge of data science workflows and tools like Pandas, NumPy, and visualization libraries; experience with DataIKU is a plus.
- Problem-Solving Skills: Ability to create simulations, visualize data, and address complex technical challenges effectively.
- Startup Mindset: Adaptability, proactiveness, and eagerness to thrive in a fast-paced startup environment.
Benefits:
- Opportunity to work with a global organization and grow into a leadership position.
- Engage in an interesting job with a growing scale-up in a future-proof industry.
- Enjoy flexible working hours and the possibility of offsite work and workations.
- Receive on-the-job training to enhance your skills.
- Access to free drinks and snacks in the office.
- Work with the latest hardware setups for a convenient working experience.
- Receive a gym membership to stay healthy and active.
- Be part of a fun community with regular team activities.
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