Lead ML/AI Engineer
Aida Projektai MB- Location
- Ukraine · Worldwide
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 5,000–7,000/mo
Posted 2mo ago
Lead ML/AI Engineer - AIDA Recruitment | Career Page
Lead ML/AI Engineer
Lviv Oblast, Ukraine
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Job Openings Lead ML/AI Engineer
About the job Lead ML/AI Engineer
For our client, we are looking for a Senior AI/ML Engineerto join an AI project and drive the design, development, and optimization of cutting-edge retrieval-augmented generation (RAG) solutions.
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+.
- Candidates: Ukrainians (in Ukraine or abroad).
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.
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- X (Formerly Twitter)
Skills
- Python
- OpenSearch
- Elasticsearch
- LlamaIndex
- LangChain
- Pinecone
- Qdrant
- FAISS
- AWS
- GCP
- Azure
- Docker
- Kubernetes
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