Senior Backend Engineer (Python) for AI-Powered Industrial Manufacturing Platform
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
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
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
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🔍 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
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➕ 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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