Job Description
About the Role
We are looking for a talented LLM & Backend Engineer to join our AI innovation team at EaseMyTrip.com. In this role, you will lead the integration and optimization of Large Language Models (LLMs) to create conversational travel agents capable of understanding, recommending, and assisting travelers across platforms. You will work at the intersection of backend systems, AI models, and natural language understanding, bringing smart automation to travel interactions.
Key Responsibilities
- LLM Integration: Deploy and integrate LLMs (e.g., GPT-4, Claude, Mistral) for processing natural language queries and providing personalized travel recommendations.
- Prompt Engineering & RAG: Design optimized prompts and implement Retrieval-Augmented Generation workflows to enhance conversation relevance.
- Conversational Flow Design: Build and manage complex conversational workflows such as booking modifications and cancellations.
- LLM Performance Optimization: Tune models and workflows to optimize performance, scalability, latency, and cost.
- Backend Development: Develop scalable, asynchronous backend services using FastAPI or Django, focusing on secure API architectures.
- Database & ORM Design: Use PostgreSQL or MongoDB and implement ORM solutions like SQLAlchemy.
- Cloud & Serverless Infrastructure: Deploy on AWS, GCP, or Azure with containerized and serverless tools such as Lambda and Cloud Functions.
- Model Fine-Tuning & Evaluation: Fine-tune models with techniques like LoRA and PEFT, and evaluate with metrics such as BLEU and ROUGE.
- NLP Pipeline Implementation: Develop NLP functionalities including named entity recognition, sentiment analysis, and dialogue state tracking.
- Cross-Functional Collaboration: Collaborate closely with AI researchers, frontend developers, and product teams.
Preferred Candidate Profile
- Experience: Minimum 2 years in backend development, including 1 year working with LLMs or NLP.
- Programming Skills: Proficient in Python, with experience in asynchronous programming and frameworks like FastAPI or Django.
- LLM Ecosystem Expertise: Familiar with LangChain, LlamaIndex, Hugging Face Transformers, and APIs from OpenAI/Anthropic.
- Database Knowledge: Strong understanding of relational and NoSQL databases.
- Model Engineering: Skilled in prompt design, LoRA, PEFT, and evaluation metrics.
- Cloud Deployment: Experienced with AWS, GCP, Azure and deploying serverless or containerized solutions.
- NLP Understanding: Knowledge of intent detection, dialogue management, and text classification.
- Problem-Solving: Ability to transform business problems into AI solutions.
- Team Collaboration: Good communication skills and team spirit.
- Curiosity & Drive: Passion for AI advancements and innovative travel tech.
Job Highlights
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