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01Engineering

AI Research Engineer

You will research emerging model architectures, reasoning strategies, and local deployment techniques to expand studio AI capabilities.

SeniorFull-timeRemote / Hybrid
All open roles
ARSenior
02About the role

What you'll work with.

As a Senior AI Research Engineer at TheWebVale, you will investigate modern advancements in machine learning and language models. You will explore small language models, reasoning distillation, vision-language systems, and quantization techniques to unlock practical advantages for client products. You will partner directly with our founder to translate research breakthroughs into production prototypes in two-to-three week cycles. You will write rigorous technical analyses, benchmark open models, and guide studio technology adoption.

AI Research Engineer
Python
PyTorch
Hugging Face
vLLM
Transformers
CUDA
Machine Learning
Docker
03Responsibilities

Your day to day. 

6 things, one at a time. Keep scrolling.

01 / 06

Evaluate newly released open-weight models including Llama, Mistral, and Qwen architectures.

02 / 06

Benchmark model speed, VRAM footprint, and reasoning accuracy across hardware setups.

03 / 06

Implement quantization techniques (AWQ, GGUF, EXL2) to run models on cost-effective servers.

04 / 06

Develop working proof-of-concept prototypes to validate novel AI workflows for clients.

05 / 06

Author concise technical briefs detailing performance characteristics and deployment costs.

06 / 06

Mentor engineering teammates on model fine-tuning fundamentals and prompt evaluation.

04Requirements

What we look for. 

6 things, one at a time. Keep scrolling.

01 / 06

Have 5+ years of software engineering or applied machine learning research experience.

02 / 06

Demonstrate deep understanding of transformer architectures, attention mechanisms, and weights.

03 / 06

Show strong hands-on proficiency in Python, PyTorch, Hugging Face Transformers, and CUDA.

04 / 06

Exhibit practical experience running local inference with llama.cpp, vLLM, or Ollama.

05 / 06

Possess a strong scientific mindset with disciplined benchmarking and documentation habits.

06 / 06

Explain complex machine learning discoveries in accessible terms to product builders.

05Perks

What you get.

thewebvale.
Remote-first, with a Bhopal studio for hybrid days
Real client products across many industries
Direct work with the founder and senior team
Flexible working hours
Learning and tooling support
Your work featured in our public portfolio
06How we hire

Three steps, no tricks. 

  1. 1

    Intro chat

    A short call about what you want to work on and how you like to work.

  2. 2

    Work review

    Walk us through projects, code or designs you are proud of.

  3. 3

    Paid task

    A small paid task or pairing session, so both sides see the fit.

07Ready?

Apply for AI Research Engineer . 

Tell us about your work. We reply to every application, usually within a few days.

All open roles