{"id":694543,"url":"https://alion.io/job/twenty-applied-ai-engineer","title":"Applied AI Engineer","company":{"id":685785,"name":"Twenty","domain":"twenty.io","url":"https://alion.io/company/twenty-2","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":28,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":166,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Arlington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":159000,"max":263000,"currency":"USD","period":"year","gross":null,"usd_annual":263000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CrewAI","optional":false},{"name":"DPO","optional":false},{"name":"GRPO","optional":false},{"name":"JAX","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Post-training","optional":false},{"name":"PPO","optional":false},{"name":"Pre-training","optional":false},{"name":"Pydantic AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"RLHF","optional":false},{"name":"SFT","optional":false},{"name":"TensorFlow","optional":false},{"name":"AgentOps","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLMOps","optional":true},{"name":"Milvus","optional":true},{"name":"ONNX","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Quantization","optional":true},{"name":"TensorRT","optional":true},{"name":"vLLM","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2025-09-04T17:49:04Z","employer_posted_date":"2025-09-04","last_verified_at":"2026-10-16T06:49:07Z","board_verified":true,"closed_at":null,"days_open":406,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":406},"description":"About the Company\nAmerica is under sustained cyber attack. Our adversaries infiltrate our networks, steal our IP, and degrade the digital infrastructure that modern life runs on. They’ve learned-correctly-that those attacks rarely produce consequences.\nTwenty was founded to change that, by making our adversaries think twice before they attack us. Our vision is American and allied primacy in cyberspace-a future where they cannot contest us, deterrence is assured, and the free world remains secure.\nFounded in 2024, Twenty Technologies (www.twenty.io) industrializes offensive cyber operations for the U.S. and its allies. Headquartered in Arlington, Virginia, Twenty has raised $168M from Khosla Ventures, Accel, Caffeinated Capital, Friends & Family Capital, Point72 Ventures, General Catalyst, and In-Q-Tel.\nMission | On Site | Full Time | U.S. Citizenship Required / No Active Clearance Required\nRole Summary\nYou’ll build and ship language-model-powered systems that strengthen Twenty’s mission-critical cyber capabilities for U.S. national security. You’ll own the end-to-end workflow-from curating specialized datasets and post-training models to deploying reliable inference and retrieval systems in production. You’ll partner closely with product and engineering to translate real operational needs into high-performing AI features, operating across cloud and on-premises environments where speed, correctness, and security matter.\nWhat You’ll Do\nCreate, clean, and maintain high-quality training and evaluation datasets for specialized AI use cases.\n\nFine-tune language models (small specialized through medium foundation models) for mission needs.\n\nImplement post-training and alignment approaches to improve task performance and reliability.\n\nBuild retrieval-augmented generation (RAG) systems that ground model outputs in external knowledge.\n\nDevelop and optimize model serving infrastructure for production deployments.\n\nDesign evaluation frameworks and test harnesses to measure quality, latency, and regressions.\n\nIntegrate AI capabilities into applications and workflows using modern orchestration frameworks.\n\nCollaborate with cross-functional partners to identify high-leverage use cases and deliver solutions.\n\nProduce clear technical documentation for models, datasets, and operational processes.\n\nWho You Are\nYou’re motivated by real-world outcomes and want your work to directly impact national security missions.\n\nYou care about rigor: clean data, measurable evaluation, and repeatable experiments beat demos.\n\nYou balance research curiosity with product instincts-you ship, observe, iterate, and harden.\n\nYou’re comfortable working across cloud and on-premises constraints and adapting to the environment.\n\nYou communicate clearly with engineers and non-ML partners, and you write documentation people use.\n\nYou think in systems: models, retrieval, infrastructure, and feedback loops all have to work together.\n\nYou thrive in fast-moving teams with high standards, direct feedback, and high ownership.\n\nMust Have\nYou have 4+ years of professional software development experience building and supporting ML/AI-enabled applications.\n\nYou have strong Python skills and deep learning experience with PyTorch, TensorFlow, or JAX.\n\nYou have hands-on experience with LLM post-training methods (e.g., continued pre-training, SFT, RLHF, DPO, PPO, GRPO).\n\nYou have experience curating, cleaning, and preprocessing datasets for training and evaluation.\n\nYou have working knowledge of relational, graph, and vector database concepts.\n\nYou have experience designing or using evaluation metrics and testing procedures for LLMs and agents.\n\nYou have experience integrating LLM/agent systems using frameworks like Pydantic-AI, LangChain/LangGraph, or CrewAI.\n\nYou have a Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).\n\nNice to Have\nYou have deployed models to production and supported them through real-world usage and incidents.\n\nYou have experience with distributed training systems and performance debugging at scale.\n\nYou have implemented quantization or other optimization techniques to improve inference efficiency.\n\nYou have strong prompt engineering and model alignment instincts for reliability and control.\n\nYou have experience building MLOps/LLMOps/AgentOps practices (versioning, rollout, monitoring).\n\nTech Environment (You Might Work With)\nDeep learning stacks: PyTorch, TensorFlow, JAX\n\nLLMOps and serving: vLLM, TensorRT, ONNX\n\nRetrieval and storage: pgvector, ChromaDB, Pinecone, Milvus, Weaviate; relational/graph databases\n\nOrchestration: Pydantic-AI, LangChain/LangGraph, CrewAI\n\nInfra: Docker, Kubernetes; cloud platforms (AWS, GCP, Azure)\n\nExperiment and artifact tracking: dataset/prompt/model versioning\n\nSecurity / Work Environment\nMust be eligible to obtain and maintain a U.S. Government security clearance.\nBenefits\nWhat's on the table:\nHealth. Medical, dental, and vision plan options. Life / AD&D, disability coverage options.\n\nFamily. Paid parental leave for eligible full-time employees. 12 weeks for birthing parents, 4 for non-birthing parents, 6 weeks for adoptive, foster, or intended parents through surrogacy.\n\nVacation. Paid holidays and flexible PTO. Take what you need.\n\nRetirement. 401(k) with pre-tax and Roth options. HSA/FSA options, dependent care FSA.\n\nBenefits vary by location, role, and eligibility. Full plan details provided during the interview and offer process.\nIf this role sounds like you, apply and share with us your interest\nDue to U.S. government contract and security requirements, this role is limited to U.S. citizens. Some positions may also require eligibility to obtain and maintain a U.S. Government security clearance. Any active clearance requirement will be listed in the role description.\nTwenty is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected status, consistent with applicable law.\nIf you need a reasonable accommodation during the hiring process, let us know and we will work with you.","description_format":"text","description_chars":6221,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["National Security","Cyber Warfare"],"lifecycle":[{"event":"open","at":"2026-09-11T01:41:42Z"}],"visa":[],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.545,"p_room":0.28,"age_days":406,"expected_fill_days":166,"reasons":["conf:3","velocity","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":263000,"is_top_pay":true},"html_url":"https://alion.io/job/twenty-applied-ai-engineer","json_url":"https://alion.io/job/twenty-applied-ai-engineer.json","meta":{"generated_at":"2026-10-16T08:48:34Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6807,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":685785},"rest":"https://alion.io/mcp/rest/get_company?id=685785"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftwenty-applied-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftwenty-applied-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftwenty-applied-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/twenty-applied-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftwenty-applied-ai-engineer"}]}