{"id":983652,"url":"https://alion.io/job/strider-full-stack-ai-engineer","title":"Full-stack & AI Engineer","company":{"id":702595,"name":"Strider","domain":"onstrider.com","url":"https://alion.io/company/strider-3","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"part_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["AR","BR","CO","MX","CL","CR","PY","PE","UY"],"hiring_countries_total":9,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":138000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"Embeddings","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false}],"status":"live","first_seen_at":"2026-09-02T00:00:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-03T02:14:41Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"This is a part-time role (25 hours/week) for a 1-month contract\nYou will join a project-based engagement to deliver a proof of concept for a private legal research and document-editing platform, built to run over a law firm's own files and client records\nConfidentiality drives every decision: secure document handling, local infrastructure, and tightly controlled use of cloud-based LLM APIs\nThe POC will cover 1-2 high-value workflows, to be finalized at kickoff, likely among search and retrieval across a private document collection, AI-assisted legal research, AI-assisted document analysis and editing, supplying relevant document context to an LLM, and a simple, practical web application wrapping these capabilities\nThe intended architecture is primarily local: a web application running inside the client's environment, documents stored on a NAS, local indexing and search, secure retrieval, and OpenAI and/or Anthropic APIs invoked only with the minimum context required for each response\nYou will help validate and refine that architecture instead of implementing a predetermined design, and you will operate with a high degree of independence, taking a high-level business objective from a non-technical client and turning it into a working product\nThe POC succeeds when the client has a functional, secure application demonstrating the core workflow, can test it against representative documents, and has enough confidence to define what gets built next\nThere is potential for continued development, maintenance, and future upgrades\nSo, your responsibilities will be:Own the technical execution of the POC, from requirements through delivery\nDesign and build the web application supporting the legal research workflow\nImplement document ingestion, indexing, search, and retrieval\nIntegrate LLM APIs (e.g., OpenAI, Anthropic) into the application flow\nValidate and refine the proposed local/private architecture\nImplement security and privacy controls for confidential material\nDefine what data can and cannot be sent to external APIs\nDeploy and document the initial application\nAddress findings raised in a security-focused code review before delivery\nWork directly with the client to capture business requirements\nTranslate business requirements into practical technical solutions\nHelp define and prioritize the initial POC scope\nManage development priorities and timeline independently\nReport progress and technical decisions directly to the client\n\n5+ years of software development experience\nExperience building full-stack web applications\nExperience building LLM-powered applications with APIs (e.g. OpenAI, Anthropic)\nExperience with retrieval technologies (e.g. RAG, embeddings, semantic search, vector databases)\nExperience with document and data ingestion, indexing and search\nProficiency with backend and API development\nAbility to architect, build and deliver a full project independently\nDeep understanding of application security and sensitive-data handling\nStrong communication skills in both spoken and written English\nStartup experience\nFreelance or consulting experience\nExperience working directly with non-technical clients\nExperience running projects end-to-end, from requirements to delivery\nExperience building AI-powered document applications\nExperience in LegalTech or with legal documentation\nExperience with enterprise search or knowledge-management systems\nExperience with on-premise or hybrid cloud architectures\nExperience with NAS and local infrastructure\nExperience handling confidential or otherwise sensitive data\nBachelor's Degree in Computer Engineering, Computer Science, or 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