Middle strong/Senior ML/AI Engineer

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities 🌿Our values are Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness and Result Driven. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback💜
If you want to work from home or work in the city center of Kyiv, great — apply right now.

Requirements:
● 5+ years of experience in software engineering, with a focus on AI/ML systems or distributed systems;
● Hands-on experience building and deploying retrieval-augmented generation (RAG) systems;
● Deep knowledge of OpenSearch, Elasticsearch, or similar search engines;
● Strong coding skills in Python;
● Experience with frameworks like LlamaIndex or LangChain;
● Familiarity with vector databases such as Pinecone, Qdrant, or FAISS;
● Exposure to LLM fine-tuning, semantic search, embeddings, and prompt engineering;
● Previous work on systems handling millions of users or queries per day;
● Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes);
● Experience with vector search, embedding pipelines, and dense retrieval techniques;
● Proven ability to optimize inference stacks for latency, reliability, and scalability;
● Excellent problem-solving, analytical, and debugging skills;
● Strong sense of ownership, ability to work independently, and a self-starter mindset in fast-paced environments;
● Passion for building impactful technology aligned with our mission;
● Bachelor’s degree in Computer Science or related field, or equivalent practical experience.

Responsibilities:
● Design, build and scale a production-grade inference stack for RAG-based applications;
● Develop efficient retrieval pipelines using OpenSearch or similar vector databases, with a focus on high recall and response relevance;
● Optimize performance and latency for both real-time and batch queries;
● Identify and address bottlenecks in the inference stack to improve response times and system efficiency;
● Ensure high reliability, observability, and monitoring of deployed systems;
● Collaborate with cross-functional teams to integrate LLMs and retrieval components into user-facing applications;
● Evaluate and integrate modern RAG frameworks and tools to accelerate development;
● Guide architectural decisions, mentor team members, and uphold engineering excellence.

What you will get.
● Competitive salary and good compensation package;
● Exciting, challenging and stable startup projects with a modern stack;
● Corporate English course;
● Ability to practice English and communication skills through permanent interaction with clients from all over the world;
● Professional study compensation, online courses and certifications;
● Career development opportunity, semi-annual and annual salary review process;
● Necessary equipment to perform work tasks;
● VIP medical insurance or sports coverage;
● Informal and friendly atmosphere;
● The ability to focus on your work: a lack of bureaucracy and micromanagement;
● Flexible working hours (start your day between 8:00 and 11:30);
● Team buildings, corporate events;
● Paid vacation (18 working days) and sick leaves;
● Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi (Generator & Starlink);
● Compensation for coworking (except for employees from Kyiv and Lviv);
● Corporate lunch + soft skills clubs;
● Unlimited work from home from anywhere in the world (remote);
● Geniusee has its own charity fund.