Software Mind01.02.26
AI SCORE 8.5

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

$120K–$150K/year

About the Role

We’re looking for a Senior Backend Engineer (Python) remote 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, and 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.

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.
  • 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.

What We Offer

  • Educational resources and continuous learning support.
  • Work From Anywhere & flexible schedule.
  • Referral program.
  • Supportive, chill, and highly collaborative environment.
Why This Job8.5 of 10

This Senior Backend Engineer role offers a unique opportunity to work on cutting-edge AI solutions in industrial manufacturing. Enjoy a flexible remote work environment and competitive salary.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About Software Mind

Explore exciting career opportunities at Software Mind in 2026. Discover a range of remote, hybrid, and office roles tailored to your skills. Utilize our advanced filters to find the perfect job match, track your application progress, and gain valuable company insights. Join us and take the next step in your career with Software Mind, where innovation meets opportunity in the tech industry.

Industry
Tech
Location
Remote

Who Will Succeed Here

Deep expertise in Python for AI applications, specifically in developing and optimizing large language models (LLMs) and agentic workflows to enhance backend systems in industrial settings.

Strong proficiency in designing and implementing RESTful APIs and GraphQL services, ensuring seamless integration of AI functionalities with front-end systems and third-party services in a remote work environment.

Experience with cloud deployments using Docker and CI/CD pipelines, demonstrating a proactive approach to automating deployment processes and managing PostgreSQL databases effectively for high-performance applications.

Learning Resources

Python for Data Science Handbookguide

Career Path

Senior Backend Engineer (Python)(Now)Lead Backend Engineer or AI Solutions Architect(1-2 years)Engineering Manager or Principal Engineer(3-5 years)

Market Overview

Market Size 2024
$10.7B
Annual Growth
12.5%
AI Adoption in Industrial Sector
45%
Investment in AI Technologies
+250%
Labour Demand for Python Developers
+30%
Avg Salary for Senior Python Engineers
$130K

Skills & Requirements

Required
PythonAI SystemsLLM
Growing in Demand
Machine LearningData EngineeringKubernetes
Declining
jQueryPHP

Domain Trends

Rise of AI-Powered Automation
Over 60% of industrial companies are investing in AI to automate processes, leading to a significant demand for backend engineers skilled in AI systems.
Shift to Cloud-Native Architectures
Approximately 70% of new applications are being built using cloud-native technologies, increasing the need for engineers experienced with Docker and CI/CD pipelines.
Integration of LLMs in Industrial Applications
The use of Large Language Models in industrial applications has surged by 40% in the last year, driving demand for engineers who can implement and optimize these systems.

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