{"id":1253837,"url":"https://alion.io/job/user-ai-engineer","title":"AI Engineer","company":{"id":245891,"name":"User Experience Researchers","domain":"user.com.sg","url":"https://alion.io/company/user-3","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":9500,"max":14000,"currency":"SGD","period":"month","gross":true,"usd_annual":131544},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"TensorFlow","optional":false},{"name":"Computer Vision","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Kubeflow","optional":true},{"name":"Kubernetes","optional":true},{"name":"MLFlow","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"NLP","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-09-22T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-22T00:00:00Z","board_verified":false,"closed_at":null,"days_open":19,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":19},"description":"We are looking for an AI Engineer to design, develop, and deploy AI-powered applications and machine learning solutions. The role involves building LLM-based features, integrating AI models into production systems, and collaborating with software, data, and product teams to deliver scalable AI products.\nKey ResponsibilitiesDesign, develop, and deploy AI/ML applications for production environments.\n\nBuild and integrate Large Language Model (LLM) solutions using APIs and open-source models.\n\nDevelop RAG (Retrieval-Augmented Generation) pipelines with vector databases.\n\nCreate and optimize prompts, AI agents, and workflow automation.\n\nFine-tune and evaluate machine learning and generative AI models.\n\nBuild scalable REST APIs and integrate AI services with existing applications.\n\nMonitor model performance, improve accuracy, and optimize inference costs.\n\nCollaborate with cross-functional teams to translate business requirements into AI solutions.\n\nRequirementsBachelor's degree in Computer Science, AI, Data Science, or a related field.\n\n3+ years of experience in AI, Machine Learning, or Generative AI development.\n\nStrong proficiency in Python.\n\nExperience with LLM frameworks (LangChain, LlamaIndex, or similar).\n\nHands-on experience with OpenAI, Azure OpenAI, Claude, or open-source LLMs.\n\nKnowledge of RAG, embeddings, and vector databases (Pinecone, Milvus, FAISS, ChromaDB).\n\nExperience with PyTorch or TensorFlow.\n\nFamiliarity with Docker, Git, CI/CD, and cloud platforms (AWS, Azure, or GCP).\n\nGood understanding of API development and system integration.\n\nPreferred SkillsExperience with AI agents and multi-agent architectures.\n\nKnowledge of MLOps tools (MLflow, Weights & Biases, Kubeflow).\n\nExperience deploying models on Kubernetes or cloud-native environments.\n\nUnderstanding of NLP, computer vision, or speech AI is an advantage.\n\nSkills\nAPI Development, TensorFlow, Liaising with cross functional teams, Git, Generative AI Model Development and Fine Tuning, Data Pipeline, Azure OpenAI, REST APIs development, Computer Proficiency, Prompt Design, 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