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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.
Generative AI is transforming the way we interact with information, but it also poses an existential challenge to journalism and content creators. By scraping proprietary material without compensation, generative AI undermines key revenue streams—such as ad revenue, subscriptions, and licensing agreements—that sustain high-quality journalism and original content creation. Without proper attribution and compensation, publishers risk losing their audiences and the economic foundation needed to sustain high-quality, human-grounded journalism and content creation. Company mission — to ensure that generative AI platforms fairly credit and compensate content owners for their contributions. Our groundbreaking technology enables generative AI platforms to attribute sources and share revenue on a per-use basis, protecting creators, fostering sustainable journalism, and promoting the integrity of AI-generated content. About the Role We’re looking for a Senior Software Engineer to join our Inference Team, where you’ll lead the design and development of our Retrieval-Augmented Generation (RAG) infrastructure. In this role, you will work closely with ML engineers, research scientists, and product teams to power both web search and API-based experiences for millions of users with fast, accurate, and context-aware responses. You will architect scalable systems that combine LLMs and vector retrieval, optimizing for relevance, recall, latency, and cost. This is a high-impact role focused on AI/ML inference, retrieval performance, and significant ownership in both technical decision-making and long-term architecture.
Anastasiia Durnieva
Recruiter
Requirements
- 8+ 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.
What you will do
- 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.
Thinking about joining our team?
Explore our background, values and benefits. Our company brings together some very interesting individuals and we are happy to help each other to become better and grow together
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