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Work with customers to understand their workflows, existing systems, and technical requirements.
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Partner with an AI Strategist to define scope, priorities, and acceptance criteria.
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Design system architecture and make build-versus-buy decisions.
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Write and review production code, build integrations, and implement AI agents and workflows.
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Build evaluations, tests, monitoring, and controls so the system can operate reliably.
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Explain technical options and tradeoffs directly to customers.
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Deploy, troubleshoot, and improve the software after launch.
You’ll be the main technical contact for your workstream. We expect you to make recommendations, explain your reasoning, and raise issues when requirements or deadlines need to change.
Building useful AI systems means working through fragmented data, existing infrastructure, and model behavior that can be difficult to predict. You’ll test what works, understand failure cases, and build software that people can depend on.
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An operating system for a private equity firm with $115 billion under management.
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AI verification of in-store sampling stations for a national retailer with 70,000 field staff.
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Camera systems across thousands of retail stores to detect theft, manage queues, and track inventory.
Our clients span finance, software, media, industrials, energy, logistics, professional sports, healthcare, consumer packaged goods, real estate, and market research. Each engagement brings different technical constraints and business requirements.
You’ll also work on problems in agent orchestration, evaluation, memory, and long-running execution, where established engineering patterns are still developing.
Help improve our engineering tools
We’re building an internal development system that uses coding agents across planning, architecture, implementation, testing, review, and delivery. It’s early, and every engineer at Tenex uses it.
You’ll help improve how we structure tasks for agents, provide context, evaluate generated code, and decide where conventional software or human review is needed. Tools, evaluations, and agent systems developed on your engagements will also support other teams.