GroAR
Website:
groar.in
Job details:
๐ We're Hiring: Junior AI Engineer (Not Freshers) | GroAR | Hyderabad (In-Office)
At GroAR, we're building the AI layer that makes B2B sales pipelines unstoppable โ multi-agent systems that close deals.
We're a scrappy, fast-moving startup and we need someone who thinks differently.
Who We're Looking For
Not a textbook engineer. We want someone who:
โ Gets genuinely excited about what LLMs can actually do (and what they can't yet)
โ Breaks problems before solving them
โ Has built something with AI โ even if it's weird, half-finished, or just for fun
โ Doesn't wait to be told what to try next
What You'll Work On
โ Building and iterating on AI agents that drive real sales outcomes
โ Designing multi-step LLM workflows using LangChain
โ Integrating with CRMs, communication tools, and data sources
โ Making agents smarter โ better context, better decisions, better timing
โ Moving fast, breaking things, fixing them faster
What You Bring
โ 1โ2 years of hands-on Python experience (projects count, not just jobs)
โ Working knowledge of LangChain or similar agent frameworks
โ Comfort with APIs, LLMs, and prompt engineering
โ A genuine curiosity about AI โ you follow the space, you experiment, you have opinions
โ Based in Hyderabad and ready to work from our office
Bonus Points If You
โ Have built an agent or chatbot (personal project = absolutely fine)
โ Know your way around vector databases or RAG pipelines
โ Have strong views on why most AI demos don't actually work in production
What It's Like Here
Small tech team, but a ton of sales folks. High ownership. Real problems. You won't be maintaining someone else's codebase โ you'll be building things that didn't exist last week.
If you like structure, hand-holding, and slow decisions โ this isn't the place.
If you like moving fast and watching your work actually matter โ let's talk.
๐ฉ Apply by sending your resume, LinkedIn profile + anything you've built (GitHub, demo, writeup โ anything) to our email hr@groar.in or DM us directly.
Hyderabad-based candidates only. In-office role.
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Click on Apply to know more.