Experience
2 - 8 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
AI Engineer
Job Type
Not specified
Job Description
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
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
No Referrers Available
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