Overview

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.

We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally.

We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth.

Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.

We are building an advanced Generative AI solution for a Complex Travel Business Intelligence Portal. This cutting-edge system is designed to revolutionize user interaction by delivering accurate, context-aware responses tailored to individual needs. It integrates and aggregates data from diverse sources and datastore types, transforming raw information into actionable, meaningful analytical insights.
Client:

Project Overview:

Responsibilities:
  • Design, develop, and maintain scalable Python-based backend systems for GenAI applications and AI Multi-Agent solutions.
  • Build and optimize AI/ML models for natural language understanding, context-aware response generation, and data summarization.
  • Integrate multiple data sources (structured and unstructured) into a unified analytical framework.
  • Collaborate with data engineers, UI/UX designers, and product managers to deliver seamless user experiences.
  • Implement and fine-tune LLMs and other generative models for travel-related queries and analytics.
  • Ensure high performance, reliability, and security of AI-driven features.
  • Continuously research and apply the latest advancements in GenAI and NLP.
Nice To Have:
  • MCP Server/Client implementation.
  • A2A protocol communication.
  • Experience with GraphQL.
  • Knowledge of LangChain, LangGraph, Semantic Kernel or similar frameworks.
  • Experience in the travel or BI domain.
  • Familiarity with data visualization tools and dashboarding.
  • Understanding of user intent modeling and contextual AI.
Required Qualifications:
  • Strong proficiency in Python, including libraries such as FastAPI, Pandas, NumPy.
  • Proven experience with AI/ML model development, especially in Generative AI, NLP, LLMs, AI Agents.
  • Familiarity with vector databases, embedding techniques, and retrieval-augmented generation (RAG).
  • Experience working with cloud platforms (Azure, AWS, GCP) and CI/CD pipelines.
  • Solid understanding of data integration and API development.
  • Ability to write clean, maintainable, and well-documented code.
  • Excellent problem-solving skills and a proactive mindset.
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