Generative AI Engineer
- Easemytrip
- 1 - 4 years
- Noida, Gurugram
- 27 days ago
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Job Description
About the Role
We are looking for a talented LLM & Backend Engineer to join our AI innovation team at EaseMyTrip.com and help power the next generation of intelligent travel experiences. In this role, you will lead the integration and optimization of Large Language Models (LLMs) to create conversational travel agents that can understand, recommend, and assist travelers across platforms. You will work at the intersection of backend systems, AI models, and natural language understanding, bringing smart automation to every travel interaction.
Key Responsibilities:
- LLM Integration: Deploy and integrate LLMs (e.g., GPT-4, Claude, Mistral) to process natural language queries and deliver personalized travel recommendations.
- Prompt Engineering & RAG: Design optimized prompts and implement Retrieval-Augmented Generation (RAG) workflows to enhance contextual relevance in multi-turn conversations.
- Conversational Flow Design: Build and manage robust conversational workflows capable of handling complex travel scenarios such as booking modifications and cancellations.
- LLM Performance Optimization: Tune models and workflows to balance performance, scalability, latency, and cost across diverse environments.
- Backend Development: Develop scalable, asynchronous backend services using FastAPI or Django, with a focus on secure and efficient API architectures.
- Database & ORM Design: Design and manage data using PostgreSQL or MongoDB, and implement ORM solutions like SQLAlchemy for seamless data interaction.
- Cloud & Serverless Infrastructure: Deploy solutions on AWS, GCP, or Azure using containerized and serverless tools such as Lambda and Cloud Functions.
- Model Fine-Tuning & Evaluation: Fine-tune open-source and proprietary LLMs using techniques like LoRA and PEFT, and evaluate outputs using BLEU, ROUGE, or similar metrics.
- NLP Pipeline Implementation: Develop NLP functionalities including named entity recognition, sentiment analysis, and dialogue state tracking.
- Cross-Functional Collaboration: Work closely with AI researchers, frontend developers, and product teams to ship impactful features rapidly and iteratively.
Preferred Candidate Profile:
- Experience: Minimum 2 years in backend development with at least 1 year of hands-on experience working with LLMs or NLP systems.
- Programming Skills: Proficient in Python with practical exposure to asynchronous programming and frameworks like FastAPI or Django.
- LLM Ecosystem Expertise: Experience with tools and libraries such as LangChain, LlamaIndex, Hugging Face Transformers, and OpenAI/Anthropic APIs.
- Database Knowledge: Strong understanding of relational and NoSQL databases, including schema design and performance optimization.
- Model Engineering: Familiarity with prompt design, LLM fine-tuning (LoRA, PEFT), and evaluation metrics for language models.
- Cloud Deployment: Comfortable working with cloud platforms (AWS/GCP/Azure) and building serverless or containerized deployments.
- NLP Understanding: Solid grasp of NLP concepts including intent detection, dialogue management, and text classification.
- Problem-Solving Mindset: Ability to translate business problems into AI-first solutions with a user-centric approach.
- Team Collaboration: Strong communication skills and a collaborative spirit to work effectively with multidisciplinary teams.
- Curiosity and Drive: Passionate about staying at the forefront of AI and using emerging technologies to build innovative travel experiences.
Job Classification
Industry: Travel & TourismFunctional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Full Stack Developer
Employement Type: Full time
Contact Details:
Company: EasemytripLocation(s): Noida, Gurugram
Keyskills: Artificial Intelligence LLM Conversational Ai OpenAI Python Database Design Serverless Architecture Sentiment Analysis Named entity Backend Development Prompt Engineering Large Language Model Chatgpt GCP Restful Application Programming API MongoDB Dialogue state
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