Generative AI Engineer

EaseMyTrip.com; Essen; Vor Ort; EUR 60.000 - 85.000; Vollzeit

Zusammenfassung

A leading company in the travel industry seeks an LLM & Backend Engineer to innovate AI-driven travel experiences. In this role, you will integrate Large Language Models to optimize user interactions, build scalable backend services, and collaborate with diverse teams to enhance travel solutions. Ideal candidates are proficient in Python, familiar with NLP concepts, and eager to develop cutting-edge technology in the travel domain.

Leistungen

Flexible working hours

Professional development opportunities

Health insurance

Team-building activities

Qualifikationen

• Minimum 2 years in backend development with at least 1 year in LLMs or NLP.
• Experience with asynchronous programming and frameworks like FastAPI or Django.
• Familiarity with prompt design and LLM fine-tuning techniques.

Aufgaben

• Deploy and integrate LLMs for personalized travel recommendations.
• Develop scalable backend services and manage database designs.
• Collaborate with multidisciplinary teams to design conversational workflows.

Kenntnisse

Python

NLP

Cloud Computing

Asynchronous Programming

Prompt Engineering

Database Management

Tools

FastAPI

Django

PostgreSQL

MongoDB

AWS

GCP

Azure

LangChain

Hugging Face Transformers

Jobbeschreibung

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.