For job seekers, BONAPOLIA offers a gateway to exciting career prospects and the chance to thrive in a fulfilling work environment. We believe that the right job can transform lives, and we are committed to making that happen for you.

📣 We are looking for a Senior AI Engineer:

• 🧠 Tech Level: Senior

• 🗣 Language Proficiency: Advanced

• 👥 FTE: 1

• 🧾 Employment type: Full time

• 🌍 Candidate Location: Belarus, Kazakhstan, Georgiа, Poland, EU

• 🕐 Working Time Zone: Working with a team based in APAC (+8 time-zone), availability from +4 time-zone preferred

• 🚀 Start: ASAP

• 🧭 Planned Work Duration: 12+ months

🧪 Technology Stack: Java/Python, SQL, LangChain, LangGraph, vLLM, LMDeploy, FAISS, Weaviate, Pinecone, AWS/Google Cloud/Azure

👥 Customer Description:

Our client’s mission is to simplify global travel by aggregating transportation options in one unified platform.

They are a major global travel aggregator with extensive supplier coverage.

The company comprises a large, international team committed to enhancing the travel experience using advanced technologies.

🧩 Project Description:

The project focuses on transitioning from manual, rule-based systems to AI-driven infrastructures to boost efficiency and innovation.

A recently established APAC office is leading this transformation, developing scalable, intelligent solutions for global users.

The team is seeking a founding AI engineer who will develop advanced AI workflows and integrate them across key business areas.

⚙️ Project Phase: active development

🤝 Soft Skills:

• Self-motivated and able to drive initiatives independently

• Previous experience with real-time, high-performance AI/LLM deployments

💡 Hard Skills / Must Have:

• 6+ years developing complex models and algorithms

• Experience in deploying production-grade AI solutions

• Expertise with large language models (OpenAI, Claude, Gemini, LLaMA)

• Familiarity with LangChain, LangGraph, vLLM, LMDeploy

• Strong skills in Java/Python, and SQL

• Experience with data preprocessing, feature engineering, model evaluation

• Knowledge of MLOps and LLMOps best practices

• Ability to build RAG-based systems

• Proficiency in vector databases (FAISS, Weaviate, Pinecone, Milvus)

• Understanding of prompt engineering

• Hands-on experience with AWS/Google Cloud/Azure

📌 Responsibilities and Tasks:

• Design and develop AI solutions using LLMs to drive business outcomes

• Lead full-cycle development of AI-powered features and tools

• Build scalable AI systems supporting global business goals

• Promote AI integration and adoption across the organization

• Collaborate with cross-functional teams on AI workflows

• Communicate results and systems to technical and non-technical stakeholders