We are looking for a Senior AI Engineer:

• 🧠 Tech Level: Senior
• 🗣️ Language Proficiency: Advanced
• 👥 FTE: 1
• 🧾 Employment type: Full time
• 🌍 Candidate Location: Kazakhstan, Georgis, 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

👥 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

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

📞 Interview stages:
• instinctools English check (15 minutes)
• instinctools internal technical interview (1-1,5 hour)
• client interview (1 hour)
• client interview – live coding (1 hour)
• client interview – cultural fit (45 minutes)