Senior Backend Engineer (Python) for AI-Powered Industrial Manufacturing Platform

Software Mind Latin America
Remote
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AI Summary

Design, build, and operate Python-based backend services and APIs for AI-driven web applications. Collaborate with AI engineers, data engineers, infrastructure, and frontend teams. Own the full feature lifecycle from design to production.

Key Highlights
Design AI-native backend systems
Collaborate with cross-functional teams
Own feature lifecycle from design to production
Key Responsibilities
Design, build, and operate Python-based backend services and APIs for AI-driven web applications
Architect complex business logic, state management, and workflow orchestration
Integrate backend services with time-series data platforms and AI reasoning engines
Own the full feature lifecycle from design to production
Collaborate cross-functionally with AI, data, infra, and frontend teams
Technical Skills Required
Python LLM-based AI systems Agentic AI systems Agent workflows State and memory management Tool calling and retries Evaluation, reliability, and failure handling Time-series data platforms AI reasoning engines PostgreSQL SQL RESTful APIs GraphQL services CI/CD pipelines
Benefits & Perks
Educational resources and continuous learning support
Work From Anywhere & flexible schedule
Referral program
Supportive, chill, and highly collaborative environment
Nice to Have
Experience contributing to open-source projects
Experience building data-heavy backends for analytics or dashboards
Familiarity with Docker and cloud deployments
Experience with event-driven architectures or message queues
Full-stack experience with React, Next.js, or TypeScript

Job Description


About the Role

We’re looking for a Senior Backend Engineer (Python) to help build an AI-powered “co-intelligence” platform for industrial manufacturing. Our product combines data analytics, time-series data, and agentic AI systems to guide engineers and operators in reducing wasted energy and carbon emissions.


This is not a traditional backend role.

You’ll play a key role in designing AI-native backend systems, where LLMs and agentic workflows are a first-class architectural concern, not just an API integration.

You’ll collaborate closely with AI engineers, data engineers, infrastructure, and frontend teams, owning features end-to-end from early prototypes to production systems.


🎯 What You Will Do

  • Design, build, and operate Python-based backend services and APIs for AI-driven web applications
  • Architect complex business logic, state management, and workflow orchestration, including AI-powered decision flows
  • Design and integrate LLM-based and agentic systems, including:
  • Agent workflows and orchestration
  • State and memory management
  • Tool calling and retries
  • Evaluation, reliability, and failure handling
  • Integrate backend services with time-series data platforms and AI reasoning engines
  • Own the full feature lifecycle: design → development → testing → deployment → monitoring
  • Collaborate cross-functionally with AI, data, infra, and frontend teams in a fast-moving startup environment
  • Support customer pilots by developing custom data processing and AI-driven modules


🔍 What We’re Looking For (Core Requirements)

  • 10+ years of professional software development experience
  • 5+ years building backend systems with Python
  • Hands-on experience and strong intuition with LLM-based or agentic AI systems, gained through:
  • Professional work and/or
  • Meaningful open-source contributions or personal projects
  • Demonstrated understanding of:
  • Agent workflows, state, and memory
  • Orchestration patterns and tool calling
  • LLM failure modes (hallucinations, reliability, evaluation, edge cases)
  • Proven experience building backend services with complex business logic (not just API wiring)
  • Strong SQL skills and experience with relational databases (PostgreSQL preferred)
  • Solid computer science fundamentals (algorithms, data structures, design patterns)
  • Experience building RESTful APIs and/or GraphQL services
  • Strong testing culture and experience with CI/CD pipelines
  • Comfortable working in early-stage, fast-paced environments with high ownership
  • Excellent communication skills and ability to collaborate across disciplines


➕ Nice to Have

  • Experience contributing to open-source projects
  • Experience building data-heavy backends for analytics or dashboards
  • Familiarity with Docker and cloud deployments (GCP preferred; AWS/Azure welcome)
  • Experience with event-driven architectures or message queues (Pub/Sub, Kafka, RabbitMQ)
  • Full-stack experience with React, Next.js, or TypeScript
  • Experience with observability, monitoring, and system reliability


💼 Benefits

  • Educational resources and continuous learning support
  • Work From Anywhere & flexible schedule
  • Referral program
  • Supportive, chill, and highly collaborative environment


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