{"id":135756,"url":"https://alion.io/job/huzzle-remote-ai-engineer-2","title":"Remote AI Engineer","company":{"id":720230,"name":"Huzzle","domain":"huzzle.com","url":"https://alion.io/company/huzzle-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":550,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":125,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["HR","RS","GE","SI"],"hiring_countries_total":4,"salary":null,"salary_estimate":null,"experience_years_min":null,"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":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-05-11T00:00:00Z","employer_posted_date":"2026-05-11","last_verified_at":"2026-10-18T08:11:24Z","board_verified":true,"closed_at":null,"days_open":160,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":160},"description":"About Huzzle\nAt Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.\nUnlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.\nRole Type: Full-time\nEngagement: Independent Contractor\nJob Summary\nAs an AI Engineer, you will be responsible for developing and optimizing AI systems, integrating machine learning models into production environments, and building scalable AI-driven applications. You will contribute to everything from model experimentation to deployment and performance optimization.\nKey Responsibilities\nDesign, build, and deploy AI and machine learning solutions for real-world business applications. \nDevelop and maintain applications using Large Language Models (LLMs) such as GPT-based systems. \nBuild AI-powered automations, copilots, chatbots, and workflow systems. \nFine-tune, evaluate, and optimize machine learning models for performance and scalability. \nIntegrate AI systems with APIs, databases, CRMs, and third-party platforms. \nCollaborate with product and engineering teams to translate business requirements into AI-driven solutions. \nImplement prompt engineering strategies and retrieval-augmented generation (RAG) systems. \nMonitor model performance, reliability, and cost efficiency in production environments. \nMaintain documentation, testing procedures, and deployment workflows. \nStay updated on the latest AI trends, frameworks, and emerging technologies.\nRequirements\n3+ years of experience in AI Engineering, Machine Learning, or Software Engineering. \nStrong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face. \nExperience working with LLMs, OpenAI APIs, Anthropic, Gemini, or similar AI platforms. \nFamiliarity with vector databases, embeddings, and RAG architectures. \nExperience deploying AI applications using cloud platforms such as AWS, GCP, or Azure. \nStrong understanding of APIs, backend systems, and scalable application architecture. \nExperience with Docker, Git, CI/CD pipelines, and modern development practices. \nExcellent problem-solving and analytical thinking skills. \nStrong communication skills with the ability to work in remote, cross-functional teams. \nBonus: Experience building AI agents, automation systems, or voice AI applications.\nBenefits\nCompetitive salary based on experience and location\nFully remote role with flexible work environment\nWork 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