Senior Fullstack Engineer (LLM / AI)

Full Stack Engineer (LLM / AI)

At Tech9, we’re driven by a clear mission—to empower organizations with AI-centered solutions that make them more adaptable, efficient, and future-ready. As a company at the forefront of innovation, we help clients build exceptional software that not only meets today’s needs but anticipates tomorrow’s challenges.

Our partnerships with clients like Instructure, Young Living, Imagine Learning, and Mars Corp. reflect our commitment to delivering top-tier, scalable, and world-class software. With offices across the U.S., LATAM, and India, Tech9 is creating an environment where talented individuals thrive, collaborate, and have fun while building transformative solutions.

If you’re looking to grow in a fast-paced, innovative environment where your work truly matters, we’d love to hear from you.

Project Overview

We’re working with a company that builds AI-powered training simulations to help people improve real-world skills like leadership, communication, and decision-making. Their platform is used by organizations in education, healthcare, and business to create safe, realistic environments where employees can practice important human skills.

To power these simulations, the company combines real-time audio / video, digital avatars, and AI, all running on a fast-moving backend infrastructure. That’s where this role comes in.

Role Overview

We’re seeking a Full Stack Engineer with LLM / AI experience and 6+ years of backend development (80% in either NestJS / Python / or Java) with some work on the frontend (20%) using JavaScript.

Key Responsibilities

• Develop, maintain, and optimize backend services using NestJS and TypeScript
• Building systems that make it easy to deploy, monitor, and scale AI features
• Support frontend components using ReactJS as needed (approx. 20% of the role).
• Contribute to the migration of backend services from Java to NestJS.
• Collaborate with product and design teams to translate requirements into reliable technical solutions.
• Ensure code quality through peer reviews, testing, and adherence to best practices.
• Work with Azure and AWS cloud environments to deploy, monitor, and maintain applications.
• Participate in agile ceremonies (daily standups, sprint reviews, retrospectives).
• Troubleshoot, debug, and improve system performance.

Minimum Requirements

Nice to Have

Interview Process

Our process is designed to be fast, transparent, and candidate-friendly.

Total Time Investment : 3.5–4 hours

We aim to complete all interviews within 2–3 weeks and extend an offer shortly after.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Software Development

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