AI Engineer

Compensation: $250,000-$300,000 Base + Equity

We're partnering with a rapidly scaling, venture-backed AI technology company that is building sophisticated conversational AI products for some of the world's largest enterprises.

With strong commercial traction and growing enterprise adoption, the business is expanding its core AI engineering team and seeking a Staff Applied AI Engineer to help shape the next generation of its AI platform.

• Design, build, and scale production conversational AI systems leveraging modern LLMs.
• Develop sophisticated context engineering, retrieval, and long-term memory capabilities to improve multi-turn interactions.
• Build evaluation frameworks, automated testing systems, and feedback loops to continuously improve AI quality and reliability.
• Experiment with frontier models, agentic architectures, and emerging AI techniques, translating promising approaches into production capabilities.
• Develop model orchestration strategies and optimize systems for latency, cost, performance, and scalability.
• Take ownership of major technical initiatives, influencing architecture and engineering direction across the AI platform.
• Collaborate closely with engineering, product, and leadership teams to shape the company's AI roadmap.

• Ample professional experience in software engineering, machine learning engineering, or applied AI.
• Hands‑on experience building and deploying LLM-powered applications in production.
• Strong Python engineering skills, with experience developing scalable backend or ML systems.
• Deep practical understanding of LLMs, prompt engineering, retrieval, context management, tool use, and agentic workflows.
• Experience developing evaluation frameworks and improving the quality, reliability, or performance of AI applications.
• Proven ability to independently own complex technical projects from initial experimentation through production deployment.
• Strong technical judgment and the ability to influence engineering decisions while remaining hands‑on.

• Significant technical ownership: Influence the architecture and direction of a rapidly evolving AI product.
• Challenging applied AI problems: Work beyond basic LLM integrations on memory, reasoning, evaluation, and intelligent orchestration.
• Strong commercial momentum: Join a well-funded, high-growth business with established enterprise customers.
• High‑impact engineering: Work closely with a talented technical team on capabilities central to the company's product and future growth.
• Competitive compensation: $250,000-$300,000 base salary plus equity, with remote