Junior AI Engineer - Mumbai

Job Details Mumbai, work from office.

About ClanX

• As an AI Engineer at Eighty Days, you’ll build and own LLM-powered features for travel discovery, from conversational experiences and recommendations to reliable AI pipelines on a TypeScript backend.
• Company Details Eighty Days is building a map-based travel discovery platform centred on taste, trust, and personal context.
• It brings recommendations from social media, search, and private conversations into one place where people can save, organise, and revisit places that matter.

Responsibilities

• Design, build, and improve LLM-powered chat, content understanding, and recommendation features on the NestJS and TypeScript backend.
• Own orchestration, tool calling, memory, and evaluation for reliable agents and multi-step pipelines.
• Select and route proprietary and open-source models based on quality, latency, and cost.
• RAG systems using embeddings, Qdrant, Elasticsearch, and MongoDB to ground responses in first-party data.
• Improve production performance through SSE streaming, prompt caching, token budgets, Redis session state, and SQS-based processing.
• Build automated tests and evaluation datasets from real user queries to track relevance, response quality, and groundedness.
• Monitor production behaviour and iterate on features with the founder, backend engineers, and product team.

Requirements

• https://eightydays.ai/ Requirements 2 years of software engineering experience with strong TypeScript and Node.js skills.
• NestJS experience is preferred.
• Shipped at least one LLM-powered feature to production, such as an assistant, RAG system, or content extraction pipeline.
• Hands-on experience with Gemini, OpenAI, or Anthropic APIs, including prompt design, structured outputs, tool calling, and streaming.
• Working knowledge of embeddings, vector search, and RAG patterns.
• Production experience with MongoDB, Elasticsearch, or Redis.
• Ability to balance AI response quality, latency, and cost based on user needs.
• Experience owning a module from unclear requirements to a shipped feature with minimal oversight.
• Familiarity with AWS fundamentals, including EC2 or Beanstalk, S3, and SQS.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred

• LLM evaluation pipelines, LangGraph, LangChain, MCP, prompt caching, model routing, or LLM cost optimisation.
• WhatsApp Cloud API, Instagram Graph API, or experience at an AI-focused startup.

Interview Process

Initial Screening Technical Interview Founder Discussion Important Note ClanX is a recruitment partner, helping Eighty Days hire an AI Engineer.