Offer summary

Qualifications:

Minimum 5 years of Python development experience., At least 3 years of experience as an AI/ML Developer., Proficiency in JavaScript, Node.js, and React., Experience with MongoDB and AWS cloud services..

Key responsibilities:

Develop and fine-tune NLP systems to analyze insurance documents.

Lead the creation and optimization of large language models for the company's domain.

Design and implement workflows that utilize user feedback to improve models.

Build scalable systems supporting training, inference, and feedback pipelines.

Founded in 2005, Perform has helped hundreds of companies including McGraw Hill, Shutterfly, TJ Maxx, and AON solve complex bottlenecks in their software delivery workflow. There are two ways to Perform: 1. Hire with Perform: It takes great teams to ship great products. The thing is, finding the right hire isn't always easy. That's why we made it easy to augment engineering, QA, and DevOps teams with highly qualified nearshore candidates. Companies can save up to 70% on staffing costs - all without sacrificing quality. 2. Build with Perform: As the saying goes, "We don't rise to our goals, we fall to the strength of our systems." This highlights the importance of addressing gaps & bottlenecks in the SDLC. When teams need help in modernizing their development, quality, or delivery strategy, they can work with our team of expert consultants to do exactly that. How to start with Perform: E-mail: info@totalperform.com For more information, visit: https://totalperform.com

Job description

As the AIML Engineer, you’ll lead the development of our core machine learning systems. You’ll finetune large language models (LLMs), build NLP pipelines, automate insurance workflows, and implement user feedback loops for continual model improvement.

This is a role for someone who’s not afraid of ambiguity, gets energy from building things that don’t exist yet, and wants to work on meaningful problems with a small, fastmoving team.

You’ll also collaborate with the founders (CEO & CTO) to help define the company’s technical direction.

Responsibilities:

Natural Language Processing & Understanding: Build and finetune NLP systems to extract structured data and insights from dense, jargonheavy insurance documents.

Lead the development and finetuning of large language models tailored to our domain.

Architect training workflows that use user feedback and corrections to continually improve model performance.

Apply computer vision to extract data from PDFs, scanned documents, and other unstructured formats.

Build intelligent agents that interact with complex web interfaces using tools like Playwright or Selenium, and a strong understanding of DOM structures.

Design robust evaluation pipelines and performance metrics for all models.

Help architect scalable systems to support training, inference, and feedback pipelines.

You’ll be building core systems from scratch.

Qualifications:

5+ years with Python development experience

3+ years experience as an AIML Developer.

JavaScript Node.js React

Experience with Mongo DB and AWS

Upper Intermediate English level