
11 - 50 employees
Founded 2021
⚡ Energy
🌾 Agriculture
Energy • Agriculture • Analytics
Endgame Economics is a consultancy that specializes in providing quantitative analysis and decision-making tools across various industries, particularly focusing on energy, agriculture, and water sectors. Leveraging advanced mathematical models and machine learning, they deliver data-driven insights to help clients optimize their strategies and enhance decision-making processes in complex environments. The company's commitment to evidence-based analysis equips organizations with the confidence to tackle high-stakes decisions and achieve better outcomes.
🔥 0 minutes ago
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11 - 50 employees
Founded 2021
⚡ Energy
🌾 Agriculture
Energy • Agriculture • Analytics
Endgame Economics is a consultancy that specializes in providing quantitative analysis and decision-making tools across various industries, particularly focusing on energy, agriculture, and water sectors. Leveraging advanced mathematical models and machine learning, they deliver data-driven insights to help clients optimize their strategies and enhance decision-making processes in complex environments. The company's commitment to evidence-based analysis equips organizations with the confidence to tackle high-stakes decisions and achieve better outcomes.
• Build and evolve the MCP server and agent tool surfaces that AI clients use to query Endgame's context graph — designing tool schemas, managing context windows, and making sure every tool call returns the right data fast. • Ship the frontend features, tRPC routes, and React components that customers interact with daily — from admin dashboards to the core product UI. • Design and harden the public API layer: authentication, Redis-backed rate limiting, quota enforcement, and the observability to know when something goes wrong. • Wire new data sources into the product by integrating with the context graph and making that data available through both human-facing UI and agent-facing tool surfaces. • Translate ambiguous product goals into concrete engineering scope, then ship it. You'll work closely with product, design, and the rest of engineering, and you'll often be the person turning a customer pain point into a novel solution. • Own end-to-end quality on the surfaces you ship: performance, reliability, security, observability. AI raises the floor, your taste raises the ceiling.
• Deep understanding of the TypeScript and JavaScript ecosystem. You've built and maintained serious systems in it, not just touched it. • Familiarity with Python. • Experience designing and implementing LLM and agent tool surfaces, including the tools themselves and the context management around them. • Experience developing APIs with a real focus on observability and authentication. • Strong product instincts. You can take an ambiguous product requirement and translate it into deliverable engineering scope. • Deep experience with agentic coding tools and modern testing practices. You use AI coding tools daily, have opinions about them, and know when to trust the agent versus reading the diff yourself. • You default to collaborative action. You write, you share early, you make decisions reversible when you can. • Bonus: prior experience with revenue-data systems (Salesforce, CRMs, sales tooling) or developer-platform infrastructure (SDKs, APIs, agent tooling).
• Competitive compensation and equity • 401k, health, dental, and vision insurance • Flexible time off • Paid parental leave • Education stipend
Apply Now🕒 March 18
RISC-V software release and packaging engineer at Tenstorrent. Responsible for building and packaging software that enables customer success with RISC-V and system IP products in a remote environment.
Linux
Open Source
Python
🕒 March 13
201 - 500
Principal Engineer driving innovation and mentoring at one of Australia’s top healthtech platforms. Responsible for defining coding standards and collaborating with business leaders.
Cloud