# Research Scientist, Applied AI

> Weekday AI · India (Remote) · Full-time · Posted 2026-10-21

**Salary:** INR 9,000,000–10,000,000

**Workplace:** remote

**Department:** Weekday's Client via platform

## Description

**This role is for one of Weekday’s clients  
Salary range: Rs 9000000 - Rs 10000000 (ie INR 90 - 100 LPA)**

  
Min Experience: 5+ years  
Location: Remote (India)  
JobType: full-time

**About the Role** 

Build the core agent behaviour behind a revenue-focused AI agent, from the agent harness and evals to fine-tuning and reinforcement learning, and take hard research problems from hypothesis to production.

## Requirements

-   **Key Responsibilities** 
-   Own and advance the agent harness: the core loop, tools, environment, guardrails, and model behaviour that power the agent. 
-   Improve how the agent selects tools, builds context, coordinates across sub-agents, and handles long, multi-step tasks, through systematic experimentation. 
-   Drive model selection across tasks, balancing answer quality, latency, and cost. 
-   Design and build evaluations for complex revenue tasks such as deal health, risk, and pipeline questions, including benchmarks, regression detection, and automated eval pipelines. 
-   Build eval datasets and grading methods for tasks that have no clean ground truth. 
-   Build scoring and prediction models, such as deal health scores from call transcripts and emails, cross-deal pattern mining, and explainable risk signals. 
-   Lead fine-tuning work as the platform moves from harness-heavy work into deeper model training.
-   Research and design reinforcement learning (RL) approaches that improve agent behaviour. 
-   Improve context engineering and data quality through entity resolution, information extraction, and knowledge and context graphs. 
-   Own ambiguous research problems end-to-end: form hypotheses, design experiments, build the training, eval, and grading infrastructure, and ship results to production. 
-   Work closely with the US-based Head of AI and the applied AI team in India. 

-   **Qualifications**
-   5+ years of experience in applied AI research or applied science, at a senior level. 
-   MS or PhD in Computer Science, Mathematics, Statistics, or another quantitative discipline. 
-   Hands-on experience building and improving agentic systems and agent harnesses, including tool use, multi-step reasoning, and context management. 
-   Hands-on experience with LLMs or large-scale deep learning systems, including training, fine-tuning, and RLHF. 
-   A clear understanding of why models behave the way they do, not only how to use them. 
-   Experience designing eval datasets or frameworks, especially for tasks without clean ground truth.
-   Proven ability to scope and drive ambiguous research with minimal guidance. 
-   Publications at top-tier peer-reviewed conferences or journals are preferred. 
-   Comfortable working with a US-based leadership team across time zones.
-   **Benefits & Perks** 
-   Competitive salary and equity at Series A, ahead of the next funding round. 
-   A remote role, with the team meeting in person in Bangalore. 
-   Meaningful scope from day one: you will own core agent capabilities, not just support them. 
-   Direct work with the Head of AI and a tight feedback loop with founders and product. 
-   A sharp, low-ego team that moves fast and communicates directly. 
-   A chance to shape an AI-first product at a pivotal stage, as it moves from harness work into fine-tuning and RL.   
     

Must-have skills

Agentic Systems, Agent Harness Design, model finetuning

Good-to-have skills

LLM, Applied AI, AI research

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/951CE26EFF/apply)

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