Applied AI Engineer jobs in United States
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Symmetry AI · 1 month ago

Applied AI Engineer

Symmetry AI is addressing the challenge of fragmented context in modern AI workflows, enabling teams to maximize productivity across their AI stack. The Applied AI Engineer will be responsible for building knowledge extraction and retrieval systems that transform AI-native work, turning product ideas into working LLM systems.

Computer Software

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

Qualification

Python engineeringRetrieval architecturesLLM orchestration frameworksBuildTune LLM agentsPrompt engineeringFine-tuning modelsEnd-to-end developmentProblem-solvingCollaboration

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 AI

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Symmetry is building the context OS for AI-native work—delivered through a proactive, in-flow assistant that follows you across tools, builds deep project knowledge, and executes any task with full context awareness.

Funding

Current Stage
Early Stage
Company data provided by crunchbase