Job VC
AI Engineer
Technologies
Description
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 $180/year for sports activities;
A strong culture of knowledge sharing with senior experts you can really learn from;
New equipment provision, and accounting support if needed;
Competitive market-level salary with regular performance and salary reviews;
Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
A psychologically safe and supportive environment;
Active social responsibility and continuous support for the Armed Forces.
If you believe this role could be a great match for you, please send us your resume via the link — we’ll be happy to get in touch with you.
You’re also welcome to recommend colleagues or friends — we offer a referral bonus of
2000$🎁
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 $180/year for sports activities;
A strong culture of knowledge sharing with senior experts you can really learn from;
New equipment provision, and accounting support if needed;
Competitive market-level salary with regular performance and salary reviews;
Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
A psychologically safe and supportive environment;
Active social responsibility and continuous support for the Armed Forces.
If you believe this role could be a great match for you, please send us your resume via the link — we’ll be happy to get in touch with you.
You’re also welcome to recommend colleagues or friends — we offer a referral bonus of
2000$🎁