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2.0 - 6.0 years
0 Lacs
haryana
On-site
We are seeking a talented LLM & Backend Engineer to join our AI innovation team at EaseMyTrip.com and contribute to the development of intelligent travel experiences. As a part of this role, you will be responsible for integrating and optimizing Large Language Models (LLMs) to create conversational travel agents that can provide personalized recommendations and assistance to travelers across various platforms. Your work will involve a combination of backend system integration, AI model implementation, and natural language understanding to introduce smart automation into every travel interaction. Your key responsibilities will include: - Deploying and integrating LLMs such as GPT-4, Claude, and Mistral to process natural language queries and offer tailored travel suggestions. - Designing optimized prompts and implementing Retrieval-Augmented Generation (RAG) workflows to enhance contextual relevance in multi-turn conversations. - Developing robust conversational workflows capable of handling complex travel scenarios like booking modifications and cancellations. - Tuning models and workflows to achieve the right balance between performance, scalability, latency, and cost in diverse environments. - Building scalable backend services using FastAPI or Django, focusing on secure and efficient API architectures. - Designing and managing data using PostgreSQL or MongoDB, and implementing ORM solutions like SQLAlchemy for seamless data interaction. - Deploying solutions on cloud platforms such as AWS, GCP, or Azure using containerized and serverless tools like Lambda and Cloud Functions. - Fine-tuning open-source and proprietary LLMs using techniques like LoRA and PEFT, and evaluating outputs using metrics like BLEU, ROUGE, or similar. - Developing NLP functionalities including named entity recognition, sentiment analysis, and dialogue state tracking. - Collaborating closely with AI researchers, frontend developers, and product teams to deliver impactful features rapidly and iteratively. The ideal candidate should have: - Minimum 2 years of experience in backend development with at least 1 year of hands-on experience working with LLMs or NLP systems. - Proficiency in Python with practical exposure to asynchronous programming and frameworks like FastAPI or Django. - Experience with tools and libraries such as LangChain, LlamaIndex, Hugging Face Transformers, and OpenAI/Anthropic APIs in the LLM ecosystem. - Strong understanding of relational and NoSQL databases, including schema design and performance optimization. - Familiarity with prompt design, LLM fine-tuning (LoRA, PEFT), and evaluation metrics for language models. - Comfort with cloud platforms (AWS/GCP/Azure) and proficiency in building serverless or containerized deployments. - Solid grasp of NLP concepts including intent detection, dialogue management, and text classification. - Problem-solving skills to translate business challenges into AI-centric solutions with a user-centric approach. - Strong communication skills and a collaborative mindset to work effectively with multidisciplinary teams. - Passion for staying updated on AI advancements and leveraging emerging technologies to create innovative travel experiences.,
Posted 2 days ago
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