{"id":920732,"url":"https://alion.io/job/corestory-ai-engineer","title":"AI Engineer","company":{"id":674498,"name":"CoreStory","domain":"corestory.ai","url":"https://alion.io/company/corestory","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":135000,"max_usd":241000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":222},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chroma","optional":false},{"name":"Claude","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"Hugging Face","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"Mistral","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Neo4j","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Tokenization","optional":false},{"name":"Tool Use","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2025-11-17T19:25:10Z","employer_posted_date":"2026-04-02","last_verified_at":"2026-10-01T08:04:22Z","board_verified":true,"closed_at":null,"days_open":318,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":317},"description":"About CoreStory\nCoreStory unlocks the hidden intelligence in your legacy code. By using AI to surface business logic and technical insights, we give enterprises the clarity to modernize faster, maintain apps smarter, and reduce the risk of costly failures.\nWe’re looking for an AI Engineer who is passionate about building intelligent systems that blend large language models, retrieval architectures, and conversational agents into cohesive, scalable products. This role is critical to the core AI engine powering the CoreStory Platform.\nRole Overview\nAs an AI Engineer, you’ll play a central role in developing and optimizing the AI components that power CoreStory’s narrative intelligence platform. You’ll work across LLM integration, vector search systems, prompt orchestration, agentic systems, and retrieval-augmented generation (RAG) pipelines.\nYou’ll collaborate closely with the product, data, and infrastructure teams to prototype, productionize, and continuously evolve our AI stack - ensuring that our systems are accurate, explainable, efficient, and on the cutting edge of modern AI capabilities.\nKey Responsibilities\nDesign, implement, and optimize LLM-powered systems (e.g., RAG, chat agents, summarizers, knowledge graph integration).\nBuild and manage data indexing and retrieval pipelines using LlamaIndex, LangChain, or similar frameworks.\nImplement and maintain vector databases (e.g., Pinecone, Neo4j, Weaviate, Chroma, or Azure Cognitive Search).\nIntegrate open-source and proprietary LLMs (e.g., GPT, Claude, Llama) into the CoreStory Platform.\nDevelop and refine AI-driven features - including generative insights, automated summarization, and narrative analytics.\nCollaborate with DevOps and backend teams to deploy scalable AI services within CoreStory’s cloud infrastructure.\nContinuously benchmark model performance, latency, and cost, identifying opportunities for optimization.\nStay current with advancements in AI - from model architectures to emerging frameworks - and propose innovative applications aligned with CoreStory’s mission.\nContribute to internal documentation, experimentation frameworks, and evaluation methodologies.\nQualifications\nRequired Skills:\n7+ years of overall engineering experience with at least 3+ years of experience in AI engineering, machine learning, or applied NLP.\nStrong hands-on experience with LlamaIndex, LangChain, or similar orchestration frameworks.\nExperience designing and implementing vector database solutions (e.g., Pinecone, Neo4j, FAISS, Milvus, Weaviate).\nSolid understanding of LLM APIs (OpenAI, Anthropic, Mistral, Hugging Face, etc.).\nProficiency in Python, with experience in libraries such as FastAPI, Pandas, or NumPy.\nUnderstanding of retrieval-augmented generation (RAG) patterns, embeddings, and tokenization.\nFamiliarity with prompt engineering, tool calling, and chat agent architectures.\nStrong problem-solving and analytical mindset, with attention to performance and scalability.\nDemonstrated interest in staying up-to-date with the fast-evolving AI landscape.\nPreferred:\nExperience deploying AI services in production (e.g., using Docker, Azure, or AWS).\nExposure to LangGraph, semantic search, or hybrid RAG systems.\nFamiliarity with knowledge graphs, document intelligence, or multimodal AI.\nPrevious experience in SaaS or early-stage startup environments.\nWhat We Offer\nCompetitive compensation and equity.\nFlexible, remote-first work environment.\nOpportunities to define and build the AI roadmap of a fast-growing technology company.\nCollaborative, learning-oriented culture.\nAccess to cutting-edge AI models, research, and infrastructure.","description_format":"text","description_chars":3636,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Human Resources","Code Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-15T00:30:40Z"}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.177,"p_room":0.28,"age_days":317,"expected_fill_days":38,"reasons":["conf:27","win:tail","crowd:"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/corestory-ai-engineer","json_url":"https://alion.io/job/corestory-ai-engineer.json","meta":{"generated_at":"2026-10-02T02:23:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3203,"day_limit":5000,"remaining_today":1797,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}