AI Engineer

We are looking for a AI Engineer to help us build and scale AI features in our e-commerce platform and develop LLM-based solutions in production.

What you will do:

• Design and develop RAG pipelines to work with internal data (product catalog, customer data, operational data)
• Build AI agents to automate business workflows (customer support, merchandising, order processing)
• Integrate LLMs (OpenAI, Anthropic, AWS Bedrock) into existing services and microservice-based architecture
• Work on fine-tuning / adapting models for domain-specific tasks
• Define and improve approaches to evaluation, prompt engineering, and response quality
• Optimize AI solutions for latency, cost, and performance
• Collaborate with product and engineering teams to deliver end-to-end AI features

What we are looking for:

• 6+ years of software engineering experience, with 1–2+ years of practical experience in AI/LLM (must have)
• Hands-on experience with LLM-based applications (RAG, agents, prompt engineering)
• Understanding of embeddings and semantic search principles
• Experience with vector databases (Qdrant, Weaviate, Pinecone, or similar)
• Strong Python skills for AI/ML-related tasks
• Solid understanding of microservices architecture and REST APIs
• Experience working with cloud platforms (preferably AWS)

• English level: B2 (must be able to communicate fluently during client interviews) and fluency in Ukrainian

   

Nice to have:

• Experience with AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, etc.)
• Practical experience evaluating LLM systems
• Experience with AWS AI services (Bedrock, SageMaker, etc.)
• Experience optimizing AI systems in production
• Experience in the e-commerce domain

Why join Empeek?

• A high-impact role leading AI transformation within an established enterprise platform.
• A collaborative, experienced engineering team with a strong focus on modernization.
• Significant autonomy and influence over technical direction.
• Access to cutting-edge tools, models, and cloud infrastructure.
• Competitive compensation package (discussed during the interview process).
• Opportunities for professional development and continuous learning.

What we offer:

• Access to internal and external training, certification reimbursement;
• 18 working days of paid vacation, 10 compensated public holidays, and up to 10 paid sick days;
• Partial compensation for English classes + free speaking club;
• Up to $180/year for sports activities;
• A strong culture of knowledge sharing with senior experts you can really learn from;
• New equipment provision, and accounting support if needed;
• Competitive market-level salary with regular performance and salary reviews;
• Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
• A psychologically safe and supportive environment;
• Active social responsibility and continuous support for the Armed Forces.

If you believe this role could be a great match for you, please send us your resume via the link — we’ll be happy to get in touch with you.

You’re also welcome to recommend colleagues or friends — we offer a referral bonus of 2000$🎁