Senior AI Engineer – Agentic Systems & LLM

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer -- Agentic Systems & LLM Applications based in the United States.

This role sits at the intersection of product engineering and frontier AI, focused on building the next generation of AI-native applications.

You will design and scale autonomous agents capable of reasoning, taking actions, and solving complex, non-deterministic workflows in production.

The position combines LLM application development, agent orchestration, advanced retrieval, developer tooling, and production AI engineering.

You will work with leading foundation models and modern AI infrastructure to create reliable, observable, and low-latency systems.

A major focus will be moving AI solutions beyond prototypes by implementing rigorous evaluation, monitoring, and optimization practices.

As part of a distributed, global-first team, you will have significant ownership over technical architecture and product direction.

This is an opportunity to work on challenging AI problems while turning emerging capabilities into practical products with tangible user impact.

• Design and implement autonomous agents and multi-agent orchestration systems capable of handling complex, open-ended tasks.
• Build and optimize production-grade applications on top of leading foundation models, with a focus on reliability, observability, scalability, and low-latency performance.
• Architect advanced Retrieval-Augmented Generation (RAG) pipelines and vector database strategies that provide agents with accurate, relevant, and real-time context.
• Develop sophisticated tool-calling, planning, reasoning, and autonomous execution workflows for AI agents.
• Contribute to AI-powered developer tools and internal frameworks that accelerate the development and deployment of AI-native products.
• Establish rigorous evaluation frameworks and Evals to measure model and agent performance in production environments.
• Implement monitoring, fine-tuning, testing, and optimization pipelines to improve accuracy, reliability, and safety.
• Collaborate across product and engineering functions to integrate foundation models into solutions that address real-world user needs.
• Help shape the technical architecture and engineering practices for scalable AI-native systems.
• Continuously evaluate emerging AI technologies, frameworks, and approaches and identify opportunities to incorporate them into production systems.

• Proven experience building production applications using large language models, AI agents, or other advanced AI technologies, ideally within an AI-native startup, research environment, or developer-tool organization.
• Deep understanding of agentic systems, including agent frameworks, tool calling/function calling, autonomous planning, and reasoning loops.
• Expert-level proficiency in Python and/or Type Script with Node.js.
• Hands‑on experience with Lang Chain, Llama Index, or custom-built AI orchestration frameworks.
• Strong expertise with vector databases such as Pinecone, Weaviate, or Milvus.
• Experience designing efficient machine learning and data pipelines.
• Strong understanding of foundation model applications and the practical challenges of deploying LLM‑powered systems at scale.
• Experience building sophisticated RAG architectures and retrieval strategies.
• Strong product intuition and the ability to translate emerging AI capabilities into useful, reliable products rather than purely academic experiments.
• Experience with production AI engineering practices, including evaluation, monitoring, optimization, and reliability.
• Ability to work effectively in a distributed, global-first environment with a high degree of autonomy…