Are you a passionate software engineer looking to make a transformative impact across critical global industries? We're seeking an exceptional technical talent to architect cutting-edge AI systems that revolutionize manufacturing, logistics, and supply chain operations.
Role Overview: We're not just building applications—we're developing intelligent systems that drive real-world economic transformation. As a software engineer, you'll synthesize advanced AI technologies into scalable, production-ready platforms serving large enterprise customers.
Technical Responsibilities:
- Design high-performance systems processing millions of operational data points
- Develop scalable backend architectures using Python, PostgreSQL, Redis, and Celery
- Create sophisticated data integration pipelines bridging structured and unstructured data sources
- Productionize advanced LLM workflows, transforming research prototypes into enterprise-ready solutions
- Build intuitive React frontend interfaces for complex operational insights
- Implement cloud-native infrastructure leveraging AWS for reliability and efficiency
Required Qualifications:
- 2-6 years software engineering experience at growth-stage startups
- Demonstrated track record of building product solutions (1-10 products)
- Expertise in optimizing system performance, reliability, and maintainability
- Proven ability to design and deploy robust production systems
Standout Candidates Will Have:
- Enterprise software company background (e.g., experience at Snowflake, Sigma Computing)
- Deep understanding of AI/ML workflow productionization
- Experience integrating legacy enterprise systems
- Strong data pipeline and distributed systems design skills
Ideal Technical Background:
- Advanced Python development
- Comprehensive PostgreSQL and Redis expertise
- React and frontend engineering skills
- AWS cloud infrastructure knowledge
- Machine learning workflow experience
- Enterprise software integration capabilities
Impact Areas:
- Manufacturing operational efficiency
- Supply chain optimization
- Predictive maintenance systems
- Enterprise AI transformation
- Data-driven decision support platforms
Technical Stack:
- Languages: Python, JavaScript/TypeScript
- Frameworks: React, Django/Flask
- Databases: PostgreSQL, Redis
- Cloud: AWS
- AI/ML: LLM workflow integration, Vision Language Models
- Tools: Celery, Email parsing, ERP system connectors
Career Trajectory: This role offers an extraordinary opportunity to work at the intersection of AI, enterprise software, and industrial innovation. You'll develop solutions that directly impact global economic infrastructure while pushing the boundaries of technological potential.
Location: Flexible (Remote/Hybrid options available)