Applied AI Engineer
Seattle, WA · On-site
Symmetry AI is tackling the challenge of fragmented context in AI workflows, enabling teams to maximize productivity across their AI stack. The Applied AI Engineer will be responsible for building ...
Symmetry Ai
2 jobs near Columbus, OH
Applied AI Engineer
Seattle, WA · On-site
Symmetry AI is tackling the challenge of fragmented context in AI workflows, enabling teams to maximize productivity across their AI stack. The Applied AI Engineer will be responsible for building ...
Symmetry AI is addressing the challenge of fragmented context in modern AI workflows. The Senior Full Stack Engineer will design and maintain systems that power the platform, ensuring reliability and ...
Symmetry AI is addressing the challenge of fragmented context in modern AI workflows. The Senior Full Stack Engineer will design and maintain systems that power the platform, ensuring reliability and ...
Full-time
Re-posted 13 days ago
Job description
Job Summary:
Symmetry AI is tackling the challenge of fragmented context in AI workflows, enabling teams to maximize productivity across their AI stack. The Applied AI Engineer will be responsible for building knowledge extraction, mapping, and retrieval systems that enhance AI-native work and improve user experiences across various features and products.
Responsibilities:
• Core AI systems that extract and organize knowledge from AI conversations into structured, reusable context.
• Retrieval and memory infrastructure (GraphRAG + vector search) that delivers precise, low-latency context to user workflows.
• Agentic systems that reason across stored context—handling retrieval, synthesis, and evaluation tasks autonomously.
• Prompt and orchestration frameworks that connect multiple models, tools, and data sources into end-to-end reasoning pipelines.
• Evaluation and telemetry systems to benchmark retrieval quality, latency, and overall intelligence performance.
• Fast prototypes to explore new product directions and validate user-facing capabilities.
Qualifications:
Required:
• Strong Python engineering fundamentals—skilled in building performant, maintainable systems and services that connect data, models, and APIs.
• Deep understanding of retrieval architectures—embeddings, vector databases, hybrid or graph-based search, and caching strategies.
• Experience with LLM orchestration frameworks like LangChain, LlamaIndex, or custom-built agent systems.
• Proven ability to build and tune LLM-based agents for reasoning, synthesis, or evaluation tasks.
• Familiarity with prompt engineering and multi-step reasoning—designing structured flows that balance quality, latency, and cost.
• Exposure to fine-tuning or adapter training (LoRA, PEFT) and how to integrate tuned models into retrieval pipelines.
• Ability to work end-to-end—backend (FastAPI, Node) to quick front-end demos or dashboards for testing and iteration.
• Comfort operating in open-ended problem spaces, defining your own experiments, and driving them to working outcomes.
Company:
Symmetry is building the context OS for AI-native work. Founded in , the company is headquartered in Seattle, Washington, US, , with a team of 2-10 employees. The company is currently Early Stage.
Symmetry AI is tackling the challenge of fragmented context in AI workflows, enabling teams to maximize productivity across their AI stack. The Applied AI Engineer will be responsible for building knowledge extraction, mapping, and retrieval systems that enhance AI-native work and improve user experiences across various features and products.
Responsibilities:
• Core AI systems that extract and organize knowledge from AI conversations into structured, reusable context.
• Retrieval and memory infrastructure (GraphRAG + vector search) that delivers precise, low-latency context to user workflows.
• Agentic systems that reason across stored context—handling retrieval, synthesis, and evaluation tasks autonomously.
• Prompt and orchestration frameworks that connect multiple models, tools, and data sources into end-to-end reasoning pipelines.
• Evaluation and telemetry systems to benchmark retrieval quality, latency, and overall intelligence performance.
• Fast prototypes to explore new product directions and validate user-facing capabilities.
Qualifications:
Required:
• Strong Python engineering fundamentals—skilled in building performant, maintainable systems and services that connect data, models, and APIs.
• Deep understanding of retrieval architectures—embeddings, vector databases, hybrid or graph-based search, and caching strategies.
• Experience with LLM orchestration frameworks like LangChain, LlamaIndex, or custom-built agent systems.
• Proven ability to build and tune LLM-based agents for reasoning, synthesis, or evaluation tasks.
• Familiarity with prompt engineering and multi-step reasoning—designing structured flows that balance quality, latency, and cost.
• Exposure to fine-tuning or adapter training (LoRA, PEFT) and how to integrate tuned models into retrieval pipelines.
• Ability to work end-to-end—backend (FastAPI, Node) to quick front-end demos or dashboards for testing and iteration.
• Comfort operating in open-ended problem spaces, defining your own experiments, and driving them to working outcomes.
Company:
Symmetry is building the context OS for AI-native work. Founded in , the company is headquartered in Seattle, Washington, US, , with a team of 2-10 employees. The company is currently Early Stage.