Our mission in Geniusee is to help companies prosper through technology partnership and enhance the engineering community by sharing knowledge and creating opportunities 🌿 Values ​​are continuous growth, team synergy, responsibility, conscious openness and results. We offer a safe, comprehensive and fruitful environment for all team members, and we are always open to the comments 💜 If you want to work from home or work in the center of KYIV, then demand.

About the project: Artificial Intelligence Project

requirements:
● 5+ years of experience in software engineering, focusing on artificial intelligence systems/ml or distributed systems,
● The experience of building and publishing the generation systems of retrieval (RAG),
● The deep knowledge of OpenSearch, Elasticsearch or similar search engines,
● Strong coding skills in Bethon,
● Experience with frames like Llamaindex or Langchain,
● Knowledge of veil data rules such as Pinecone, Qdrant or Fais,
● Exposure to LLM control, semantic research, implications, and fast engineering,
● Previous work on systems that deal with millions of users or inquiries daily,
● Familiarity with cloud infrastructure (AWS, GCP, or Azure and container tools (Docker, Kubernetes),
● Experience in searching in vectors, including pipelines, and dense retrieval techniques,
● Proved the ability to improve the inference chimneys of capture, reliability and expansion,
● Excellent skills to solve problems, analyze, and correct errors,
● The strong sensation of ownership, the ability to work independently, and self -mentally in fast -paced environments,
● A passion for building technology is in line with our mission,
● Bachelor’s degree in computer science or relevant field, or equivalent practical experience.

Responsibilities:
● Design, create and expand the scope of a staple inference of the production category of the cutting applications,
● Develop effective pipelines to retrieve using OpenSearch databases or similar to the encroachments, focusing on high recall and response to response,
● Improving performance and cumin for each of the actual and batch queries,
● Determining and treating bottlenecks in the inference staple to improve response times and system efficiency,
● High reliability guarantee, susceptibility, and monitoring of published systems,
● Cooperation with multi -functional teams to integrate LLMS and retrieval components into applications facing the user,
● Evaluating and integrating modern rag frameworks and tools to accelerate development,
● Oriental decisions, members of the mentors team, and support engineering excellence.

What will you happen.
Competitive salary and good compensation package;
● Exciting, exciting and stable startups with a modern staple;
● The English language course for companies;
● The ability to practice English language skills and communicate through permanent interaction with customers from all over the world;
● Compensation for vocational study, courses certificates and certificates online;
● The opportunity to develop career, the process of reviewing salaries is semi -annual and annual;
● The equipment needed to perform work tasks;
● VIP medical insurance or sports coverage;
● Unofficial and friendly atmosphere;
● The ability to focus on your work: the lack of bureaucracy and accurate management;
● Flexible working hours (Start your day between 8:00 and 11:30);
● Team buildings, corporate events;
● Paid leave (18 working days) and sick papers;
● Comfortable offices in two cities (KYIV & LVIV) with electricity and Wi-Fi (Generator & Starlink);
● Compensation for work (except for KYIV and LVIV);
● Corporate lunch + soft skills clubs;
● Unlimited work from home from anywhere in the world (far);
● The genius has its own charitable box.

Please apply via this link