Job Description: About the Role
We are seeking a talented LLM & Backend Engineer to join our AI innovation team at EaseMyTrip.com and help shape the future of intelligent travel experiences. In this role, you will be responsible for integrating and optimizing Large Language Models (LLMs) to develop conversational travel agents capable of understanding, recommending, and assisting travelers across multiple platforms.
Key Responsibilities
- LLM Integration: Deploy and integrate models such as GPT-4, Claude, Mistral to handle natural language queries and provide personalized travel recommendations.
- Prompt Engineering & RAG: Design effective prompts and implement Retrieval-Augmented Generation workflows for contextual multi-turn conversations.
- Conversational Flow Design: Create and manage conversational workflows for complex travel scenarios including bookings, modifications, and cancellations.
- LLM Performance Optimization: Fine-tune models and workflows to optimize performance, scalability, latency, and cost-efficiency.
- Backend Development: Build scalable, asynchronous backend services using FastAPI or Django, focusing on secure and efficient API design.
- Database & ORM Design: Manage data with PostgreSQL or MongoDB, and utilize ORM tools like SQLAlchemy.
- Cloud & Serverless Infrastructure: Deploy applications on AWS, GCP, or Azure using containerized and serverless solutions such as Lambda and Cloud Functions.
- Model Fine-Tuning & Evaluation: Fine-tune open-source and proprietary LLMs employing techniques like LoRA and PEFT, and assess outputs with metrics like BLEU and ROUGE.
- NLP Pipeline Implementation: Implement NLP features including named entity recognition, sentiment analysis, and dialogue management.
- Cross-Functional Collaboration: Work closely with AI researchers, frontend teams, and product managers to deliver impactful features rapidly.
Preferred Candidate Profile
- Experience: At least 2 years in backend development and 1+ year working with LLMs/NLP.
- Programming Skills: Proficiency in Python and frameworks such as FastAPI or Django.
- LLM Ecosystem: Experience with LangChain, LlamaIndex, Hugging Face Transformers, and OpenAI/Anthropic APIs.
- Database Knowledge: Strong understanding of relational and NoSQL databases.
- Model Engineering: Familiarity with prompt design, LLM fine-tuning, and evaluation methods.
- Cloud Deployment: Hands-on experience with AWS, GCP, or Azure and deploying containerized or serverless applications.
- NLP Concepts: Solid knowledge of intent detection, dialogue management, and text classification.
- Problem-Solving & Collaboration: Ability to translate business needs into AI solutions and work effectively within teams.
- Curiosity & Drive: Passion for AI advancements and building innovative travel tech.
Job Highlights
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