Mid-Level Backend Engineer with LLM Expertise @
4 days ago
- LLM Expertise: At least 2 years of hands-on experience working with large language models (LLMs), including practical experience with Langchain and Langgraph for orchestrating LLM workflows and integrating models into backend systems.
- Prompt Engineering: Expertise in designing, testing, and optimizing prompts to enhance LLM performance for specific tasks.
- Backend Development: At least 2 years of experience with FastAPI (Python) or Node.js (JavaScript/TypeScript).
- Cloud Infrastructure: Strong experience in designing and implementing secure, scalable, and reliable cloud architectures on Azure, GCP, or AWS, ensuring the safety and performance of applications.
- Database Knowledge: Expertise in working with relational databases like PostgreSQL, MySQL and SQLite.
- Data Science/Engineering: Ability to clean and analyze large datasets to ensure their quality and relevance for machine learning tasks.
- Ownership & Initiative: Willingness to own LLM-related tasks and projects, working collaboratively with the tech lead and team.
- Advanced LLM Frameworks: Familiarity with advanced LLM frameworks such as Hugging Face Transformers or other production-ready language model libraries and tools used for fine-tuning, model deployment, and natural language processing.
- On-Premise LLM Development: Experience working with on-premise or self-hosted LLM models, including fine-tuning, managing infrastructure, and optimization.
- PyCharm: Familiarity with using PyCharm as an integrated development environment (IDE) for Python-based development.
- TensorFlow: Experience with TensorFlow for building and deploying machine learning models, particularly in relation to LLMs or data science tasks.
- Machine Learning: Solid understanding of machine learning techniques, model training, and AI pipelines.
- Front-End Knowledge: Familiarity with front-end frameworks like React (even if you focus mainly on backend).
- Full-Stack Experience: Experience or interest in full-stack development, contributing both to front-end and back-end features in an agile environment.
- Impactful Work: You'll have the chance to influence the architecture and AI strategy from day one.
- Collaboration & Growth: Learn from a tech lead skilled in AI agents and collaborate with front-end devs on meaningful projects.
- Professional Development: Grow your knowledge of large language models, data science, and cloud-based ecosystems.
Other Perks: flexible working hours, remote-friendly policies
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