AI Engineer Travel Tech (28 years) Location: Bellandur, Outer Ring Road, Bengaluru (Work from Office only) Organization Size: 30 members across functions, and growing Reports to: Head of Engineering GetSetYo is a Bangalore-based early-stage travel tech startup, built by internet industry veterans (ex-Makemytrip, Flipkart, Ola, PhonePe, Zynga, MagicPin, etc ) and premier academic institutes (IIT Delhi, IIT BHU, ISB, DCE, NIT Surathkal, etc ), and funded by multiple unicorn founders (of companies such as MakeMyTrip, Zomato, Groww, Udaan, MaMaEarth, etc ) and were growing fast Look us up here https://getsetyo,/about Were building something exciting in the travel tech space and looking for a AI Engineer to join our core engineering team in Bangalore, Who Are You: 2-8 years experience including 15 years in an AI/ML engineering or applied research role Hands-on experience with RAG or vector search systems (FAISS, Pinecone, Elasticsearch) Experience with model fine-tuning frameworks (Hugging Face Transformers, OpenAI fine-tuning APIs, etc ) Proficiency in Python (preferred) or Java for ML workflows Strong prompt engineering skills and understanding of LLM capabilities Ability to own end-to-end AI feature delivery in a fast-paced startup environment What You'll Do: Fine-Tune & Deploy Models: Adapt large language models on domain data; manage training pipelines, versioning, and CI/CD for model artifacts, Prompt Engineering: Craft and optimize prompts?dynamic templates, chaining, few-shot/zero-shot strategies?to drive high-quality output, Design & Build AI Pipelines: Architect and implement retrieval-augmented generation (RAG) workflows, from document ingestion to vector indexing and similarity search, Develop Embedding Services: Generate, store, and query embeddings at scale using FAISS, Pinecone, or Elasticsearch, Integrate AI into Backend: Collaborate with the Java/Spring Boot team to embed AI inference services and deploy ML workflows using Docker, Kubernetes, or serverless functions, Nice to Have: Background in travel-related datasets or consumer-facing recommendation systems Knowledge of data preprocessing, chunking, and evaluation metrics (ROUGE, BLEU, human-in-loop feedback) Experience with MLOps tools (MLflow, Weights & Biases) and automated retraining pipelines Prior work on real-time inference, caching strategies, or cost optimization on cloud GPUs What We Offer: AI Impact from Day 1: Lead the development of our core ML capabilities Fast Iteration: Weekly releases and direct user feedback Collaborative Culture: Flat structure and transparent communication Vibrant Office: In-person energy in Bangalore HQ Perks: Employee travel discounts and exclusive deals Ownership & impact from Day 1
