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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.
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.
Role Overview
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.
Responsibilities
- 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
Tech Stack
- 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
Requirements
- 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
Our interview process is intentionally designed to be efficient, respectful of your schedule, and never burdensome.
- Interview 1: On-Demand HireVue (30 minutes)
- Recruiter Q&A (10–15 minutes)
- Round 1: Internal Technical Round with Member of Tech9 Team + Engineering Manager (60–75 minutes)
- Round 2: Technical Interview with Client (90–120 minutes)
- Round 3: Culture Fit Interview with Client CTO (30 minutes)
Tech9 is an equal opportunities employer and welcomes applications from diverse candidates.
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