AI Engineer at GetSetYo
AI Engineer (1–8 years)
Location: Bellandur, Outer Ring Road, Bengaluru (Work from Office only)
Organization Size: 20 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 we’re growing fast.
Look us up here - https://www.getsetyo.com/about
We’re building something exciting in the travel tech space and looking for a senior AI Engineer to join our core engineering team in Bangalore.
Who Are You:
1–8 years of total software engineering experience, including at least 1 year building and shipping AI/ML or LLM-powered products in production
Engineering degree from a top-ranked college
Strong engineering foundation in Python or Java, with the ability to build reliable backend services, APIs, evaluation pipelines, and developer tooling around AI systems
Hands-on experience with LLM application patterns such as RAG, tool/function calling, structured output generation, vector search, reranking, and agentic workflows
Familiarity with agent frameworks and orchestration patterns, including multi-step workflows, planner/executor patterns, tool routing, and guardrails
Working knowledge of MCP (Model Context Protocol) or similar patterns for connecting models to internal tools, data sources, and external systems
Strong understanding of context engineering, prompt design, and how to manage instructions, conversation state, tools, memory, and retrieved context for consistent model behavior
Experience with evaluation and observability for AI systems: offline evals, online metrics, regression testing, trace inspection, cost/latency monitoring, and failure analysis
Comfortable working in a fast-paced startup where you can own problem statements end to end — from prototype to production rollout
Must have experience using AI-native developer tools such as Claude Code / coding agents / AI-assisted workflows to accelerate delivery
What You’ll Do
Build and own production-grade AI features across the stack, from experimentation and prototyping to backend integration, deployment, monitoring, and iterative improvement
Design and implement agentic workflows for real user problems — combining LLM reasoning, retrieval, tool use, business rules, and backend APIs into reliable multi-step systems
Build and optimize RAG and search systems: document ingestion, chunking strategies, embedding pipelines, vector indexes, hybrid retrieval, reranking, and citation/grounding flows
Integrate models with internal and external systems through tool calling, APIs, and where relevant MCP-compatible interfaces, so models can safely access the right context and take useful actions
Drive context engineering for AI products: decide what memory, instructions, retrieved context, tool outputs, and interaction history should be passed to the model at each step for maximum quality and efficiency
Build evaluation systems for prompts, agents, and retrieval quality — including benchmark datasets, golden test cases, automated regression checks, and human-in-the-loop review workflows
Establish observability and debugging for AI pipelines: traces, tool execution logs, latency/cost tracking, hallucination analysis, and failure-mode investigation
Help define engineering standards for AI systems across security, guardrails, versioning, rollback, experimentation, and cost-performance tradeoffs
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.