Lead ML/AI Engineer to $7000

About the job Lead ML/AI Engineer

For our client, we are looking for a Senior AI/ML Engineer to join an AI project and drive the design, development, and optimization of cutting-edge retrieval-augmented generation (RAG) solutions.
 

About the Role

This role is ideal for a highly skilled engineer passionate about AI/ML systems, distributed architectures, and vector search technologies. You will play a key role in designing scalable inference stacks, optimizing retrieval pipelines, and integrating modern frameworks into production-grade applications.
 

Requirements

• 5+ years of experience in software engineering, preferably with AI/ML or distributed systems.
• Proven hands-on experience with retrieval-augmented generation (RAG) systems.
• Deep knowledge of OpenSearch, Elasticsearch or similar search engines.
• Strong coding skills in Python.
• Experience with LlamaIndex, LangChain.
• Familiarity with vector databases (Pinecone, Qdrant, FAISS).
• Exposure to LLM fine-tuning, embeddings, semantic search, prompt engineering.
• Background in high-scale systems handling millions of users/queries daily.
• Knowledge of cloud infrastructure (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
• Experience with vector search, embedding pipelines, dense retrieval techniques.
• Strong optimization skills for latency, reliability, and scalability.
• Excellent problem-solving, analytical, and debugging skills.
• Proactive self-starter with ownership mindset.
• Passion for impactful technology aligned with Geniusees mission.
• Bachelors degree in Computer Science or equivalent practical experience.
• English: Upper-Intermediate+.
   

Responsibilities

• Design, build, and scale production-grade inference stacks for RAG-based applications.
• Develop efficient retrieval pipelines with OpenSearch/vector DBs ensuring high recall & relevance.
• Optimize performance and latency for real-time and batch queries.
• Identify and fix bottlenecks to improve system efficiency and response times.
• Ensure observability, monitoring, and reliability of deployed systems.
• Collaborate with teams to integrate LLMs and retrieval components into applications.
• Evaluate and integrate modern RAG frameworks and tools.
• Mentor team members, support architectural decisions, and uphold engineering excellence.
• Contribute to pre-sales activities (NFR elicitation, solution architecture, risk definition).
• Conduct discovery phases and recommend tools/libraries.
• Lead/support code reviews, POCs, and R&D.
• Interview external candidates and provide ad hoc troubleshooting.

What You Will Get

• Competitive compensation & performance-based bonus - 5000 -7000 USD
• Exciting AI startup projects with a modern stack.
• Career development opportunities (regular reviews).
• Professional study support, certifications, and corporate English.
• VIP medical insurance or sports coverage.
• Paid vacation (18 days) and sick leave.
• Flexible working hours (start 8:00 - 11:30).
• Unlimited remote work worldwide + cozy offices in Kyiv & Lviv with Starlink & generator.
• Compensation for coworking (outside Kyiv & Lviv).
• Corporate lunch, team buildings, soft skills clubs.
• Informal and friendly work culture, no micromanagement.
• Own charity fund.