{"id":779280,"url":"https://alion.io/job/temus-ai-engineer","title":"AI Engineer","company":{"id":685586,"name":"Temus","domain":"temus.com","url":"https://alion.io/company/temus","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":27,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":232,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"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":null,"salary_estimate":{"min_usd":55000,"max_usd":130000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"RAG","optional":false},{"name":"Tool Use","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Ansible","optional":true},{"name":"Anthropic","optional":true},{"name":"AutoGen","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Computer Vision","optional":true},{"name":"CrewAI","optional":true},{"name":"Datadog","optional":true},{"name":"Docker","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"Hugging Face","optional":true},{"name":"Kubeflow","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM","optional":true},{"name":"MLFlow","optional":true},{"name":"NLP","optional":true},{"name":"OpenAI","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"PyTorch","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true},{"name":"Terraform","optional":true},{"name":"Time Series Forecasting","optional":true},{"name":"Transformers","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-04-08T14:03:41Z","employer_posted_date":"2026-06-24","last_verified_at":"2026-10-01T22:28:39Z","board_verified":true,"closed_at":null,"days_open":176,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":175},"description":"Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. We aspire to be a strategic partner in realising the Singapore Government’s Smart Nation vision. We are headquartered in Singapore and have more than 400 employees across a wide range of disciplines in strategy, design, architecture, technology, data & AI.\nYour Role\nHarness your expertise in AI engineering, delivery, and governance to solve complex problems and deliver transformative change for clients and citizens.\nMake an outstanding contribution to a world-class AI and data team.\nDevelop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats.\nInvest continuously in building and extending your knowledge and skills.\nYour Background\nAt least 3 years of relevant working experience in fields related to artificial intelligence, machine learning, data science, or software engineering.\nCompleted at least one hands-on AI development and deployment end-to-end.\nExposure to agentic AI concepts such as multi-agent systems, tool-use, RAG pipelines, or autonomous task execution is highly desirable.\nAt least 3 years of implementation experience with serverless computing, CI/CD, containerisation, Infrastructure as Code, code version control and automated testing.\nExposure to one or more cloud services: AWS, Azure or GCP.\nCandidates should demonstrate strength in either AI Engineering or ML Engineering (see below). Strength in both is a plus.\nAI Engineering (LLM & Agentic Systems)\nPractical hands-on experience with LLMs and agentic tooling: LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Anthropic API, AWS Bedrock, Google Vertex AI, Azure ML, Hugging Face Transformers, MLFlow, Dataiku, MS Fairlearn, Google PAIR.\nExperience with prompt engineering, fine-tuning, and responsible AI evaluation.\nML Engineering / MLOps\nPractical hands-on experience with ML development and deployment tooling: Jupyter, PyTorch, TensorFlow, Scikit-learn, AWS SageMaker, MLFlow, Docker, Kubernetes, Terraform, Ansible, Datadog.\nBroad knowledge of NLP, computer vision, recommendation systems, reinforcement learning and time series forecasting.\nExposure to model experiment tracking and training workflows: hyperparameter tuning, experiment logging (e.g. MLFlow, Weights & Biases), and reproducible training runs.\nExposure to the MLOps lifecycle: data versioning, model training pipelines, experiment tracking, model registry, deployment, monitoring, and retraining triggers - using tools such as MLFlow, Weights & Biases, Kubeflow, AWS SageMaker Pipelines, Azure ML Pipelines, or Google Vertex AI Pipelines.\nTemus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.\nWe see the diversity of our team as a strategic advantage, and we work actively to maintain it.\nBy applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/","description_format":"text","description_chars":3150,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Government"],"lifecycle":[{"event":"open","at":"2026-09-12T00:11:37Z"}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.865,"p_room":0.6,"age_days":175,"expected_fill_days":232,"reasons":["conf:7","velocity","win:late","crowd:"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/temus-ai-engineer","json_url":"https://alion.io/job/temus-ai-engineer.json","meta":{"generated_at":"2026-10-02T00:22:14Z","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":210,"day_limit":5000,"remaining_today":4790,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}