AI-Native Backend Engineer (Python) for Multi-Agent Systems

Telnyx54; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Telnyx is seeking a Software Engineer to build and operate the AI-native backend systems powering our go-to-market motions. You'll design multi-agent architectures, implement reliable integrations, and own services end-to-end from prototype through production.

These systems orchestrate LLM-powered agents handling real business workflows—qualifying leads, routing meetings, and managing outbound campaigns. You will partner with Engineering Leads and Technical Product Managers to translate problems

Qualifications

• 2+ years of software engineering experience building backend services in Python
• Production experience building multi-step AI agent systems - stateful workflows where models make decisions, call tools, and operate across multiple turns, not single-shot API wrappers
• Strong understanding of LLM internals as they affect system design: context window management, token budgets, cost/latency/capability tradeoffs across models, structured outputs, and strategies for handling hallucination and refusals
• Experience testing and evaluating non-deterministic AI systems - you understand that assert output == expected doesn't work and have built or used alternatives
• Solid software architecture fundamentals: API design, state management, fault tolerance, and graceful degradation when upstream services fail
• Production experience with containerized deployments (Docker, Kubernetes) and CI/CD pipelines
• Experience integrating with external APIs at scale - auth flows, rate limiting, retries, data normalization, and managing the operational complexity of multiple third-party dependencies
• Proficiency with SQL and data systems for building targeting, enrichment, and analytics pipelines
• Built observability into production systems - structured logging, tracing, alerting, and monitoring that you actually use to debug issues
• High ownership: you deploy your own code, investigate your own incidents, and close the loop between what you shipped and how it performs

Responsibilities

• Design and build multi-agent AI systems in Python that handle complex, multi-step business workflows
• Architect model-agnostic abstraction layers that decouple business logic from LLM providers
• Build and operate backend services (FastAPI/Flask) deployed on Kubernetes with CI/CD
• Design tool-use patterns for AI agents - structured function calling, multi-step reasoning, state management
• Build integrations across external systems (CRM, enrichment APIs, outreach platforms, Slack)
• Instrument and monitor AI systems in production - observability into agent behavior, track success rates
• Design and run experiments (A/B tests, prompt variations, model comparisons) with proper evaluation infrastructure

Skills

Python

Backend API design

Kubernetes

CI/CD

SQL

LLM basics

Observability

State management

Docker

API integration

Tools

FastAPI/Flask

Docker

Kubernetes

Job description

Telnyx is seeking a Software Engineer to build and operate the AI-native backend systems powering our go-to-market motions. You'll design multi-agent architectures, implement reliable integrations, and own services end-to-end from prototype through production.

These systems orchestrate LLM-powered agents handling real business workflows—qualifying leads, routing meetings, and managing outbound campaigns. You will partner with Engineering Leads and Technical Product Managers to translate problems