Staff AI Engineer

People In AI; United States; Remote; USD 250,000 - 300,000; Full time

Benefits offered by this job

Remote work

Job summary

People in AI is seeking a Staff Applied AI Engineer to join a venture-backed, rapidly scaling AI technology company building advanced conversational AI products for enterprise customers. The role focuses on producing production-grade LLM systems, memory and context management, and high-performance AI orchestration.

You will own major technical initiatives, design scalable architectures, and collaborate with cross-functional teams to shape the product's AI roadmap while enjoying strong

Qualifications

• Experience building and deploying LLM-powered applications in production.
• Strong Python engineering skills for scalable backend or ML systems.
• Deep understanding of LLMs, prompt engineering, retrieval, and context management.
• Experience developing evaluation frameworks to improve AI quality and reliability.
• Ability to own complex technical projects from experimentation to production.

Responsibilities

• Design, build, and scale production conversational AI systems using LLMs.
• Develop context engineering, retrieval, and long-term memory for multi-turn interactions.
• Build evaluation frameworks, automated testing, and feedback loops.
• Experiment with frontier models, agentic architectures, and new AI techniques.
• Develop model orchestration strategies optimizing latency, cost, performance, and scale.
• Take ownership of major technical initiatives and influence architecture and engineering direction.
• Collaborate with engineering, product, and leadership to shape the AI roadmap.

Skills

LLM deployments

Python engineering

Scalable backend systems

Prompt engineering

Retrieval & context management

Evaluation frameworks

End-to-end project ownership

Architectural influence

Job description

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

The Opportunity

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.

What You'll Be Doing

• 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.

What We're Looking For

• 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.

Why Consider This Opportunity?

• 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