{"id":2138102,"url":"https://alion.io/job/ncs-eg-ai-engineer-2","title":"#EG AI Engineer","company":{"id":8907,"name":"NCS","domain":"ncs.co","url":"https://alion.io/company/ncs-co","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":82,"open_postings":371,"ghost_share":0.296,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":null,"salary_estimate":{"min_usd":60000,"max_usd":128000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"Azure","optional":false},{"name":"DeepSeek","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hallucination","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Qwen","optional":false},{"name":"RAG","optional":false},{"name":"Tokenization","optional":false},{"name":"Vertex AI","optional":false},{"name":"LangChain","optional":true},{"name":"LLMOps","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-09T01:39:52Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-16T16:39:01Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":7},"description":"NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.\n This role sits within NCS AI Central's (AIC) Forward Deployed Engineering (FDE) model - the combined capability that takes AI solutions from proof-of-concept through to hardened production systems. As AI Engineer, you design and run rapid experiments on Gen AI models, prompts, and retrieval strategies to give the squad fast, evidence-based answers on model performance - operating primarily within fast-moving FDE engagements (POC/POV, pilot deployments).\nWhat will you do:\n1. Experimentation & Evaluation\nUnderstand the business problem, POC objectives, and evaluation metrics.\nDesign experiments to test different model configurations, prompts, or retrieval strategies.\nAnalyse Gen AI outputs for quality, accuracy, and alignment with requirements; identify common failure modes (hallucination, bias, irrelevant answers, factual errors).\nSupport SMEs in defining ground truth benchmarks for evaluation.\n2. Data Preparation & Pipelines\nProfile and clean sample datasets for experimentation (lightweight data prep).\nBuild and test simple pipelines for data ingestion, prompt construction, and output evaluation.\n3. Gen AI & Agentic Techniques\nWork with foundation models via AWS Bedrock, Google Vertex AI, or Azure AI Foundry depending on engagement cloud posture.\nApply working knowledge of China-origin models (DeepSeek, Qwen, GLM) as increasingly relevant, cost-effective alternatives.\nApply agentic orchestration frameworks such as AWS Strands, LangGraph, or equivalent, for designing and testing multi-step agent workflows.\nApply prompt strategies, prompt engineering patterns, and RAG design (chunking, embeddings, retrieval evaluation); support ingesting/vectorising content to knowledge bases.\nProvide insights and recommendations to improve model performance in quick iterations, including fine-tuning approaches where applicable.\n4. FDE & Development/Maintenance Coverage\nDuring FDE engagements: rapidly test candidate models, prompts, and retrieval strategies, giving the team fast, evidence-based go/no-go signals.\nDuring system development & maintenance engagements: support ongoing model/prompt tuning and monitoring as applications move toward production.\n5. Collaboration\nCollaborate with developers on integrating models into the POC workflow, and work closely with PM, devs, and SMEs to refine data and prompts.\nPartner with the Data Scientist on evaluation methodology where classical statistical baselines are in play, and with the AI/LLM Specialist when an engagement moves toward production-grade evaluation.\nDocument experiments briefly but clearly (hypothesis → result → conclusion).\n We are hiring at two levels for this role. All responsibilities above apply to both; the distinction is in scope of ownership, years of experience, and seniority of judgement expected.\nAI Engineer\n4-5 years of hands-on experience in AI/ML or Gen AI engineering. Runs experiments and prototypes independently within a defined POC/POV scope, under guidance from a Senior AI Engineer or AI/LLM Specialist.\nExecutes rapid experimentation cycles for one engagement at a time; escalates ambiguous evaluation calls to senior team members.\nSenior AI Engineer\n6+ years of hands-on experience, including prior ownership of experimentation strategy for complex or ambiguous problem statements. Sets the experimentation approach across multiple engagements and mentors junior AI Engineers.\nAdvises PMs and stakeholders directly on feasibility and experimentation trade-offs; represents technical experimentation findings in client conversations.\nQualifications\nThe ideal candidate should possess:\n4+ years hands-on experience in AI/ML or Gen AI engineering (see Role Levels for the split between AI Engineer and Senior AI Engineer).\nUnderstanding of Gen AI concepts (tokenization, embeddings, RAG, prompting, evaluation).\nFamiliar with at least one major cloud AI service (AWS Bedrock, Google Vertex AI, or Azure AI Foundry); working knowledge of others a plus.\nWorking knowledge of the China AI model landscape (DeepSeek, Qwen, GLM) a strong plus.\nFamiliarity with agentic orchestration frameworks (AWS Strands, LangGraph, or equivalent), for designing and testing multi-step agent workflows.\nAbility to do rapid experimentation rather than perfect models.\nBasic proficiency in Python and Gen AI tools (e.g., model SDKs, vector DBs).\nAnalytical mindset: can quantify subjective output (accuracy, relevance, readability).\nGood data wrangling skills to prepare small datasets quickly.\nPreferred Qualifications\nGenerative AI Leader or Machine Learning Engineer certification, or equivalent.\nExposure to LLMOps practices (model monitoring, versioning) for production transition.\nFamiliarity with model fine-tuning techniques.\nExposure to Singapore Government GCC/HCC environments.\nTech Stack (Illustrative)\nLanguages: Python\nLLM Runtime: AWS Bedrock, Google Vertex AI, Azure AI Foundry; DeepSeek/Qwen/GLM (China stack)\nAgentic Frameworks: AWS Strands, LangGraph\nData & Eval: Model SDKs, vector DBs, pandas/Jupyter-style tooling for experimentation\n Why Join NCS\nLead high-impact AI management consulting programs for major enterprises and public sector clients.\n\nShape enterprise strategies and governance frameworks that drive real transformation.\n\nWork with a talented, multidisciplinary team in a collaborative environment.\n\nCompetitive compensation and strong professional development support.\n\nWe are driven by our AEIOU beliefs-Adventure, Excellence, Integrity, Ownership, and Unity-and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.\nTogether, we make the extraordinary happen.\nLearn more about us at ncs.co and visit our LinkedIn career site.\nScam Alert\nWe are aware of fraudulent job offers and impersonations of NCS recruiters. Phishing emails using convincing-looking but fake addresses are also commonly used to trick you into thinking that they come from official NCS sources.\nPlease note that all official communications from NCS Group will only be sent from verified corporate email addresses. Always check that the sender’s email address ends with the genuine NCS domain, @ncs.com.sg and beware of extra letters, symbols or misspellings. 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