π£ We are looking for a Senior AI Engineer:
β’ π§ Tech Level: Senior
β’ π£ Language Proficiency: Advanced
β’ π₯ FTE: 1
β’ π§Ύ Employment type: Full time
β’ π Candidate Location: Belarus, Kazakhstan, GeorgiΠ°, Poland, EU
β’ π Working Time Zone: Working with a team based in APAC (+8 timezone), availability from +4 timezone preferred
β’ π Start: ASAP
β’ π§ Planned Work Duration: 12+ months
π§ͺ Technology Stack: JavaPython, SQL, LangChain, LangGraph, vLLM, LMDeploy, FAISS, Weaviate, Pinecone, AWSGoogle CloudAzure
π₯ Customer Description:
Our clientβs 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.
π§© Project Description:
The project focuses on transitioning from manual, rulebased systems to AIdriven 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.
βοΈ Project Phase: active development
π€ Soft Skills:
β’ Selfmotivated and able to drive initiatives independently
β’ Previous experience with realtime, highperformance AILLM deployments
π‘ Hard Skills Must Have:
β’ 6+ years developing complex models and algorithms
β’ Experience in deploying productiongrade AI solutions
β’ Expertise with large language models (OpenAI, Claude, Gemini, LLaMA)
β’ Familiarity with LangChain, LangGraph, vLLM, LMDeploy
β’ Strong skills in JavaPython, and SQL
β’ Experience with data preprocessing, feature engineering, model evaluation
β’ Knowledge of MLOps and LLMOps best practices
β’ Ability to build RAGbased systems
β’ Proficiency in vector databases (FAISS, Weaviate, Pinecone, Milvus)
β’ Understanding of prompt engineering
β’ Handson experience with AWSGoogle CloudAzure
π Responsibilities and Tasks:
β’ Design and develop AI solutions using LLMs to drive business outcomes
β’ Lead fullcycle development of AIpowered features and tools
β’ Build scalable AI systems supporting global business goals
β’ Promote AI integration and adoption across the organization
β’ Collaborate with crossfunctional teams on AI workflows
β’ Communicate results and systems to technical and nontechnical stakeholders
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