{"id":2169215,"url":"https://alion.io/job/optimum-solutions-ai-engineer","title":"AI Engineer","company":{"id":3800114,"name":"Optimum Solutions","domain":"theoptimum.net","url":"https://alion.io/company/optimum-infosystem","size_band":"1001-5000","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":"contractor","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":7000,"max":10000,"currency":"SGD","period":"month","gross":true,"usd_annual":93648},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"C#","optional":false},{"name":"Context Engineering","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Express","optional":false},{"name":"FastAPI","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"MicroStrategy","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Power BI","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false},{"name":"JavaScript","optional":true},{"name":"Node JS","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-09T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-09T00:00:00Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"JOB DESCRIPTION\nAs an AI Engineer, you will use Generative AI techniques complemented with data science modelling to develop models and products that support various business divisions across investment promotion, industry development and corporate functions. You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate user needs into technical requirements, and deliver AI and Machine Learning solutions that drive measurable outcomes.\nYour roles and responsibilities include:\nCollaborating with business users to understand their key priorities and use cases.\nProposing and developing solutions using data science and/or Generative AI techniques to drive business value.\nWorking directly on building the client's portfolio of deployed AI applications and data science models, including its in-house agentic platform.\nResearching emerging AI/data science techniques and identifying relevant ones for the organisation to explore and adopt (e.g. Agentic AI, LLM, Predictive Modelling, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation).\nData wrangling and analysis, including preprocessing, cleaning and feature engineering.\nDeveloping backend APIs and services to support AI model deployment and integration.\nBuilding frontend interfaces and user experiences for AI-powered applications.\nReviewing and implementing fixes for reported security vulnerabilities.\n\nTo perform this role, you must have/be:\nMinimum of a Bachelor's Degree in Computer Science, Computer Engineering, Machine Learning, Data Science, AI or related disciplines.\nExperience in cloud platforms and services, preferably AWS.\nUnderstanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG), including knowledge of vector databases and embedding techniques.\nExperience with harness engineering, context engineering techniques and prompt optimization strategies.\nUnderstanding of AI agent frameworks and multi-agent systems (e.g. LangChain, LangGraph, DeepAgents).\nExperience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js), RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript).\nExperience with Docker/Kubernetes for deploying production-grade applications.\nProficient in Git, SQL and modern programming languages (e.g. TypeScript, C#).\nProficient in Business Intelligence tools (e.g. Tableau, Qlik, MS Power BI, MicroStrategy).\nStrong presentation skills and ability to explain technical concepts clearly to a non-technical audience.\n\nSkills\nMulti-Agent Systems, Machine Learning, Front-End Architecture, Generative AI Application Development and Deployment, Architecture, LLM Security, Artificial Intelligence, LLMOps, Use Case Analysis, AI Models, LangChain, Predictive Modeling, LLMs, Artificial Intelligence Application, Cloud Services, Context 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