Artificial Intelligence Engineer in Beinf - Tech Solutions for CX

Пряме повідомлення учасника, який розмістив вакансію, з Beinf - Tech Solutions for CX Tetiana Platonova Tetiana Platonova HRBP/Talent Acquisition Specialist/Career consultant/Recruitment (IT; non IT) What we build We are building a generational application for support, sales and data analysis functionality. It uses chat, agents and functional calls to external systems.Requirements:3+ years of professional experience with Python;Experience using Generative AI, LLMs, RAG and vector databases in production;Ability to write production level code in Python;Experience in LLMs agents development for specific multiple tasks;  Experience of functional calling to connection of external tools and systems;  Experience with LLM frameworks (i.e. LangChain, LlamaIndex) and prompt engineering techniques;Production Experience with LLMs: Proven experience in researching, building, and fine-tuning large language models in production environments.Experience with the best practices in software development, including version control, testing, and continuous integration;Fundamental knowledge of Data Science;Familiarity with the open-source ecosystem, frameworks, and libraries. Will be plus:- Experience with Machine Learning Operations- End-to-end experience in collection data, fine tuned, training, evaluating, testing, and deploying Generative app solutions in production;- Background in building back-end microservices and data platforms using Python.Responsibilities• Write production code that meets high-quality and maintainability standards;• Selecting the most appropriate Generative AI, Natural Language Processing (NLP), and Machine Learning(ML) model depending on the use case;• Use your prompt engineering and prompt chaining skills to create new prompts and keep improving on the existing ones;• LLM engineering, inference, tuning and training language models. Optimization NLP models;• Deploy services in production environments;• Develop and implement strategies for prompt engineering, model refinement, and training pipelines to enhance model performance;• Manage the integration of сompany knowledge into NLP models to improve contextual understanding and output relevance;• Evaluate and utilize state-of-the-art embedding vectors and encoding methods to ensure optimal model performance;• Guide the team in the expansion and refinement of taxonomies using large language models, followed by human review for tagging accuracy;• Drive the adoption of best practices in NLP model development, deployment, and maintenance, staying abreast of the latest industry trends and research;• Improve our LLMOps infrastructure to have a solid feedback loop with the most appropriate metrics to keep optimizing each use case; Degree Computer Science, Engineering, Data science or similarTech StackPython, SQL, Fastapi, Celery, W&B, Docker, AWS: SQS, S3; APP runner, ECR; CircleCI, Docker Hub, Bitbucket, Localstack, LangGraph, LangChain, LlamaIndex, OpenAI, Mistral, llama 3;    Show more Show less Position level Senior secondary level Type of employment Full time Job duties Engineering and Information Technologies Industries Data infrastructure and analytics