Lead ML/AI Engineer

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September 1

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AIDA projektai

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B2B • SaaS • IT Services

AIDA projektai is a digital partner specializing in IT solutions and services designed for business growth. With over 20 years of experience, they collaborate closely with clients to deliver bespoke software development and strategic IT consulting. Their expertise spans across creating user-friendly and stable software solutions, implementing omnichannel strategies, and data analytics to enhance business performance. AIDA projektai emphasizes a customized approach, ensuring that each solution meets the unique demands of enterprises of all sizes.

11 - 50 employees

🤝 B2B

☁️ SaaS

📋 Description

• 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

🎯 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+

🏖️ Benefits

• 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