Senior Backend Engineer (Python / GenAI)

Location: Remote in LATAM (Mexico, Costa Rica, Colombia, Argentina, Peru, El Salvador, Dominican Republic) 

At Tech9, we are driven by a clear vision—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 our clients build exceptional software that not only meets today’s needs but anticipates tomorrow's challenges. Our approach blends cutting-edge AI technology, top-tier talent acquisition, and expert project management to ensure that businesses can scale effectively and deliver high-quality, world-class software on time and within budget.

Our partnerships speak volumes, with clients like Instructure, Young Living, Imagine Learning, Mars Corp., and many others trusting us to lead the way in software development. We are rapidly growing across our offices in the US, LATAM, and India, and we're creating an environment where talented individuals can thrive, collaborate, and have fun while building transformative solutions.

If you're excited by the opportunity to work in a fast-paced, innovative environment where scaling and building the future of software is key, we’d love to hear from you. Join us as we work together to redefine the world of software development!

Role 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.

We’re hiring a Senior Backend Engineer (Python/GenAI) to build the backend systems that make real-time AI experiences possible. You won’t be building AI models yourself—but you’ll work alongside the AI team to develop the services and infrastructure that allow those models to be deployed, scaled, and used in live environments.

This is a driver role—you’ll be expected to bring new ideas, help shape processes, and take initiative in solving problems, not just wait for tasks to be assigned. You’ll be part of a lean, startup-style AI team, where everyone contributes across a wide range of projects. You won’t be siloed into just one product or feature—your work will span across multiple high-impact initiatives.

Your work will focus on:

• Developing backend services in Python that support real-time communication using LiveKit and WebSockets
   
• Building systems that make it easy to deploy, monitor, and scale AI features
   
• Working with AWS (especially EC2) and Kubernetes to ensure performance and reliability
   
• Creating tools and infrastructure that unblock AI engineers, allowing them to move faster
   
• Contributing to a platform used in live, multi-user environments where low-latency and high stability are critical
   

For context, here’s a snapshot of the broader tech stack used by our client team. While you’re not expected to know all of these (view requirements section), you’ll be interfacing with many of them:

• Python for backend services
   
• LiveKit for real-time audio/video streaming
   
• WebRTC and WebSockets for low-latency communication
   
• Unity to drive avatar simulations
   
• AWS Lambda, EC2, and Kubernetes for deployment and scaling
   
• Datadog for system monitoring
   
• LangChain and LangFuse for AI integration and observability
   

If you’re excited about being the software engineering expert on a high-performing AI team, this is a rare opportunity to apply your backend and systems knowledge to shape how cutting-edge AI is deployed and scaled in the real world. You’ll use your core computer science and software engineering skills to build the infrastructure that makes AI work—fast, reliably, and at scale. It’s a chance to grow your technical depth while innovating rapidly at the intersection of backend engineering and AI.

What You Need to Have

• 5+ years of experience in backend or full-stack software engineering, with a strong focus on Python.
   
• Deep experience working with real-time systems, including WebRTC, LiveKit, or similar live streaming platforms.
   
• Experience with live, low-latency AI interactions.
   
• Experience in scaling backend services, especially in distributed, production environments.
   
• Proficiency with AWS (EC2, ECS, Lambda, etc.) and Kubernetes for orchestrating cloud-native services.
   
• Expertise in debugging, logging, and performance optimization in production environments.
   
• Solid experience with Docker and CI/CD pipelines.
   
• Familiarity with deploying AI models into production environments and working alongside AI teams.
   
• Experience with frameworks such as LangChain, LangFuse, Ray, and LLMOps tooling for orchestration, experimentation, and deployment.

Nice to Have

• Experience working with LiveAgent-style integrations to power seamless human-in-the-loop systems.
   
• Background in LMS, streaming, or high-concurrency platforms.
   
• Familiarity with event-driven architecture and asynchronous Python frameworks (e.g., FastAPI, asyncio).

Interview Process

At Tech9, we know your time is valuable—and we take that seriously. Our interview process is intentionally designed to be efficient, respectful of your schedule, and never burdensome. We don’t believe in interviewing just to interview. Every step has a purpose, and we've built our process around research-backed best practices to identify top-tier talent without wasting your time.

Our goal is to give you a world-class candidate experience while moving swiftly—typically completing the process within 2–3 weeks, depending on availability. We aim to respond within 1–2 business days after each step to keep you informed and never leave you guessing.

This role is targeted to start on October 13th or October 20th.

Here’s exactly what you can expect:

Interview Plan:

Interview 1: (On-Demand HireVue)

• Duration: 30 minutes
• Format: On-demand, asynchronous assessment where we will gauge your initial qualifications and fit at Tech9.

Recruiter Q&A (this is not an interview)

• Duration: 10–15 minutes
• Format: This is a live virtual session to go over any questions you have about the role and ensure that you understand the entire recruitment process.

Round 1: Internal Technical Round with Member of Tech9 Team + Engineering Manager

• Duration: 60–75 minutes
• Format: Live virtual interview to assess backend fundamentals, engineering hygiene, and system thinking. The Engineering Manager will spend the last 10–15 minutes focused on soft skills and alignment with Tech9 values.

Round 2: Technical Interview with Client

• Duration: 90–120 minutes (broken into two parts)
• Format: This round includes a take-home assessment (30–60 minutes) followed by a live virtual interview (60 minutes). You’ll complete the take-home prior to the live session, where you'll walk through your solution and dive deeper into backend architecture, AI infrastructure, and real-time system scaling.

Round 3: Culture Fit Interview with Client CTO

• Duration: 30 minutes
• Format: Live virtual interview focused on your experience, mindset, and overall fit within the client’s team culture and mission.

Final Steps:
We aim to finalize decisions and extend offers within a few business days of your final interview. You’ll never go more than 1–2 business days without hearing from us between steps.

We look forward to getting to know you better and moving quickly through this process to bring you on board as part of the Tech9 team!

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