Junior AI Engineer - Mumbai
Description
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.
Website:
Requirements
2 years of software engineering experience with strong TypeScript and 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.
Bonus: LLM evaluation pipelines, LangGraph, LangChain, MCP, prompt caching, model routing, or LLM cost optimisation.
Bonus: WhatsApp Cloud API, Instagram Graph API, or experience at an AI-focused startup.
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.
Build 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.
Job Details
Mumbai, work from office.
Interview Process
Initial Screening
Technical Interview
Founder Discussion
Important Note
ClanX is a recruitment partner, helping Eighty Days hire an AI Engineer.
Skills
As published by recruitee · 19 questions · 8 written answers
Basics
Full name, Email, CV, Phone
Short answers (3)
- Please share your current CTC breakup, including Fixed, Variable, ESOPs, and other components, if any. Please stick to this format: Fixed: 15L, Variable: 3L, ESOPs: 5L with 4-year vesting
- What is your expected annual CTC? (INR)
- Help us with your LinkedIn profile link
Pick from a list (8)
- How many years of experience do you have as an AI Engineer?
- Are you willing to relocate to Mumbai and work from office?
- What is your notice period? (We are looking for candidates who can join within 30 days)
- Is your notice period negotiable?
- Do you have experience working at a product-based company?
- Are you a citizen of India and currently based in India?
- What does your current or most recent company mainly do?
- What is your current annual CTC range? (INR)
Written answers (8)
- Tell us about the product or services your current or most recent company offers. In 2–3 sentences, explain what it does, who uses it, and share the company/product website.
- [Mandatory] - Share a compulsory 2–3 minute, unscripted Loom video walking us through one LLM-powered feature you personally shipped to production. Explain the problem, your exact contribution, technologies used, one technical decision or tradeoff, and the result. Paste the video link below and ensure viewing access is enabled.
- Describe your hands-on experience building AI features. Which models or APIs have you used, what did you personally build, and what challenges did you face when making it work in production?
- Tell us about a personal project or open-source contribution you’re proud of. What does it do, what did you contribute, and is anyone using it? Share a repository or live link, if available.
- How do you use AI tools in your day-to-day coding? Name the tools and walk us through a recent task, including what you delegated to AI and how you checked the output.
- What makes your experience relevant to the AI Engineer position at EightyDays (https://eightydays.ai/)? Support your answer with specific examples of work you personally delivered and owned.
- Why do you want to leave your current role?
- Where did you find this job opportunity? (e.g., LinkedIn, Twitter, WhatsApp, etc). If someone referred you, please mention their name and contact number so we can thank them. (Write NA if not applicable).
