AI Native Engineer - Python/RAG

Role Overview:

Looking for a seasoned AI Native Engineer with over 6 years of core software engineering and advanced AI/ML experience to drive next-generation, AI-first travel solutions at our Gurugram office.

In this role, you will be responsible for architecting, building, and deploying scalable AI-driven systems. You will bridge the gap between cutting-edge LLMs, Generative AI frameworks, vector databases, and high-throughput backend infrastructure to transform the travel tech ecosystem.

Key Responsibilities:

• AI Architecture &
• Implementation: Architect and implement end-to-end AI-native applications using modern LLM frameworks (LangChain, LlamaIndex, AutoGen, or similar).
• System Integration &
• Scaling: Design low-latency, scalable microservices and APIs to integrate generative AI, agentic workflows, and semantic search directly into TBO's core travel platform.
• Retrieval-Augmented Generation (RAG): Build, optimize, and maintain RAG pipelines utilizing vector databases (Chroma, Pinecone, Weaviate, Qdrant, or Milvus) for accurate data retrieval and knowledge synthesis.
• Agentic Workflows: Design multi-agent workflows and autonomous AI systems capable of executing complex multi-step travel booking, customer query resolution, and internal automation tasks.
• Model Fine-Tuning &
• Evaluation: Evaluate, fine-tune, and optimize open-source (e.g., Llama, Mistral) and proprietary (e.g., OpenAI, Anthropic, Gemini) LLMs for domain-specific travel tasks.
• Engineering Excellence: Maintain clean, testable, and maintainable code bases adhering to production-ready enterprise standards.

Candidate Qualifications &

• Requirements:
• Total Experience: 6 years of relevant experience in software engineering, distributed systems, and AI implementation.
• Education: B.Tech / M.Tech / M.S. in Computer Science or related quantitative field from Tier-1 Institutions (IITs, NIT, BITS Pilani, IIITs, or top global universities).

Tech Stack:

• Languages: Python (Advanced), Go, or Java / C .
• AI/LLM Frameworks: LangChain, LlamaIndex, AutoGen, Haystack, PyTorch / TensorFlow.
• Vector DBs: Pinecone, Qdrant, Milvus, Weaviate, Chroma, or PGVector.
• Cloud &
• Infrastructure: AWS / GCP / Azure, Kubernetes, Docker, CI/CD pipelines.
• Databases: PostgreSQL, Redis, MongoDB, Elasticsearch.
• Domain Knowledge: Prior experience in high-scale B2B/B2C SaaS, travel, e-commerce, or transactional platforms is a plus.