AI Engineer

VirtualStation; Jaipur; On-site; INR 600,000 - 1,200,000; Full time

Job summary

VirtualStation is hiring an early-career engineer to build and productionize AI features that turn meetings into summaries, action items, and standups. You will design prompts, data flows and retrieval systems, and ship backend services linked to models with emphasis on cost and privacy.

You will work closely with product and engineering, learning to measure quality, iterate quickly, and keep up with evolving AI techniques. Fresh graduates with strong projects are welcome to apply.

Qualifications

• 0 to 2 years of experience, including internships or strong personal projects.
• Solid programming skills in Python or JavaScript/TypeScript.
• Hands-on experience calling LLM APIs and building something real.
• Understanding of prompt engineering, embeddings and RAG.
• Comfort with REST APIs, JSON, Git and basic databases.
• A careful, testing mindset; you verify output for correctness.

Responsibilities

• Build and improve AI features like meeting summaries, action items, AI standups and brainstorming.
• Design prompts, structured outputs and retrieval pipelines for real-world inputs.
• Set up evaluations to measure quality and detect regressions before release.
• Write backend services and APIs connecting models to the product with cost, speed and privacy in mind.
• Stay updated with new models and techniques and assess adoption value.
• Collaborate with QA and product to improve AI output accuracy.

Skills

Python

JavaScript/TypeScript

LLM APIs

Prompt engineering

Embeddings

RAG

REST APIs

JSON

Git

Databases

Testing mindset

Tools

Git

REST APIs

JSON

Databases

Job description

AI is not a side project at VirtualStation. Teams use it to turn meetings into summaries and action items, run standups without another call, brainstorm ideas, and see what is blocking work. These features run on real conversations, every day, for real teams.

We are looking for an early-career engineer who wants to build with large language models in production. You will work on features end to end, from prompt and data design to APIs, evaluation and monitoring, alongside our product and engineering team.

What you will do

• Build and improve AI features such as meeting summaries, action items, AI standups and brainstorming.
• Design prompts, structured outputs and retrieval pipelines, and make them reliable on messy real-world input such as transcripts.
• Set up evaluations so we can measure quality, compare models and catch regressions before release.
• Write the backend services and APIs that connect models to the product, with attention to cost, speed and privacy.
• Keep up with new models and techniques, test them quickly, and recommend what is worth adopting.
• Work with QA and product to understand where AI output falls short, and fix it.

What you bring

• 0 to 2 years of experience, including internships or substantial personal projects. Freshers with strong projects are welcome.
• Solid programming skills in Python or JavaScript/TypeScript.
• Hands-on experience calling LLM APIs and building something real with them.
• Understanding of prompt engineering, embeddings and retrieval augmented generation (RAG).
• Comfort with REST APIs, JSON, Git and basic databases.
• A careful, testing mindset. You check whether the output is actually right.

Nice to have

• Experience with speech to text, transcription or summarisation.
• Experience with agent frameworks, tool calling, or vector databases.
• A GitHub profile, demo or write-up of AI projects you have built.