机器学习/人工智能负责人

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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Originally posted on Himalayas