{"id":321892,"url":"https://alion.io/job/symmetry-applied-ai-engineer","title":"Applied AI Engineer","company":{"id":121419,"name":"Symmetry","domain":"symmetry.agency","url":"https://alion.io/company/symmetry","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":135000,"max_usd":300000,"period":"year","method":"role_country_seniority_unknown","sample_n":4425},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GraphRAG","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"PEFT","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2025-10-24T22:32:34Z","employer_posted_date":"2025-10-24","last_verified_at":"2026-10-28T12:41:52Z","board_verified":true,"closed_at":null,"days_open":368,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":368},"description":"About Symmetry\nWe’re solving one of the biggest challenges in modern AI workflows: fragmented context. Today, project knowledge is scattered across conversations, tools, and docs-forcing teams to spend more time steering AI than actually getting work done.\nSymmetry brings context, continuity, and observability to AI-powered work, enabling teams to ship faster, work smarter, and maximize productivity across their existing AI stack.\nWe’re a fast-moving, early-stage team with a proven track record of building and scaling successful AI businesses. Freshly funded and growing, we’re looking for builders who want to help define the next frontier of human-AI collaboration.\nRole Summary\nYou’ll own the 0→1 systems behind Symmetry’s Intelligence Layer-building the knowledge extraction, mapping, and retrieval systems that transform AI-native work.\nThis means experimenting with how to extract, represent, and retrieve knowledge from thousands of conversations-and turning those experiments into working systems that power real user experiences across our API and user-facing features/products.\nIf you’re excited by turning product ideas into working LLM systems and iterating through research, data, and prototypes to find what works, you’ll thrive here.\nWhat You’ll Build\nCore AI systems that extract and organize knowledge from AI conversations into structured, reusable context.\n\nRetrieval and memory infrastructure (GraphRAG + vector search) that delivers precise, low-latency context to user workflows.\n\nAgentic systems that reason across stored context-handling retrieval, synthesis, and evaluation tasks autonomously.\n\nPrompt and orchestration frameworks that connect multiple models, tools, and data sources into end-to-end reasoning pipelines.\n\nEvaluation and telemetry systems to benchmark retrieval quality, latency, and overall intelligence performance.\n\nFast prototypes to explore new product directions and validate user-facing capabilities.\n\nSkills We’re Looking For\nStrong Python engineering fundamentals -skilled in building performant, maintainable systems and services that connect data, models, and APIs.\n\nDeep understanding of retrieval architectures -embeddings, vector databases, hybrid or graph-based search, and caching strategies.\n\nExperience with LLM orchestration frameworks like LangChain, LlamaIndex, or custom-built agent systems.\n\nProven ability to build and tune LLM-based agents for reasoning, synthesis, or evaluation tasks.\n\nFamiliarity with prompt engineering and multi-step reasoning -designing structured flows that balance quality, latency, and cost.\n\nExposure to fine-tuning or adapter training (LoRA, PEFT) and how to integrate tuned models into retrieval pipelines.\n\nAbility to work end-to-end -backend (FastAPI, Node) to quick front-end demos or dashboards for testing and iteration.\n\nComfort operating in open-ended problem spaces, defining your own experiments, and driving them to working outcomes.\n\nIf you thrive on autonomy, clarity, and collaboration and want to build the connective tissue between humans and AI systems, Symmetry is where you’ll do your best work.","description_format":"text","description_chars":3115,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Branding","Digital 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