Lead ML/AI Engineer to $7000

About the project: AI project

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,
• Bachelors 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.
• Conduct pre-sales activities, including NFR elicitation, architecture of solution defenition, estimation preparation, risks defenition;
• Conduct discovery phases;
• Analyze and reccomend external libriaries and tools that can speed up development process;
• Conduct, support and code review process of development teams;
• R&D activities and POC execution;
• Conduct interviews of external candidates;
• Adhoc troubleshooting on the projects and code improvement in case of emergency.

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);