5723 | Complement AI
About The Position
The company is building autonomous AI systems that operate factories by connecting fragmented manufacturing systems and deploying AI agents that optimize operations in real time. The platform integrates data from ERP systems, MES platforms, PLCs, sensors, spreadsheets, and other legacy systems into a unified intelligence layer. On top of this foundation, AI agents automate scheduling, dispatch work to operators, identify bottlenecks, and improve factory throughput and profitability. Founded in 2024 and backed by leading early-stage investors, the company is already deployed at a precision aerospace manufacturer supplying major aerospace and defense organizations. The team combines expertise from some of the world's most technically demanding companies across AI, systems engineering, manufacturing, and operations research. This is an opportunity to join as an early technical team member and directly influence the future of autonomous industrial operations.
Requirements
- 2–8 years of experience building production software systems
- Experience shipping customer-facing products into production environments
- Strong ownership mentality and ability to operate independently
- Experience working in startups or high-ownership environments
- Demonstrated ability to take projects from concept through deployment
- Strong Python engineering skills
- Experience building production software systems
- Familiarity with AI/ML systems, LLMs, or agent-based architectures
- Experience designing scalable backend systems and APIs
- Strong understanding of data systems and operational workflows
- BS/MS in Computer Science, Engineering, Mathematics, or related technical field preferred
- Strong technical fundamentals from rigorous academic or professional backgrounds
- High ownership mentality
- Strong problem-solving and first-principles thinking
- Comfortable operating in ambiguity
- Excellent communication and collaboration skills
- Ability to work independently with minimal oversight
- Strong product intuition and customer empathy
- Excited by fast iteration and real-world impact
Nice To Haves
- Experience working directly with customers or operational stakeholders preferred
- Founder, founding engineer, quantitative, or systems engineering experience highly valued
- Experience with PostgreSQL, data pipelines, or cloud infrastructure preferred
- Exposure to reinforcement learning, optimization, or operations research is a plus
Responsibilities
- Own and ship customer-facing features from ideation through production deployment
- Build AI-powered interfaces and workflows used directly by factory operators and managers
- Develop and extend agent orchestration systems that optimize factory operations
- Work on the unified data platform connecting manufacturing systems and operational data
- Build AI systems that automate scheduling, dispatching, bottleneck detection, and operational decision-making
- Apply LLMs, reinforcement learning, context engineering, and agent-based workflows to real-world manufacturing environments
- Collaborate directly with customers to understand operational challenges and deploy solutions
- Design scalable backend systems supporting factory intelligence and automation
- Work across the full stack, from infrastructure and data systems to customer-facing applications
- Help define engineering standards, architecture, and product direction as the company scales
Benefits
- Competitive Equity
- Significant ownership and influence over product direction
- Direct access to founders and customers
- Opportunity to work on real-world AI deployments
- Exposure to advanced manufacturing and industrial operations
- Small, highly technical team environment
- Massive upside as an early employee
- Direct impact on company and product trajectory
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
