{"id":1960135,"url":"https://alion.io/job/new-era-technology-senior-ai-engineer-ai-engineer","title":"Senior AI Engineer / AI Engineer","company":{"id":4303,"name":"New Era Technology","domain":"neweratech.com","url":"https://alion.io/company/new-era-technology","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":82,"open_postings":11,"ghost_share":0,"stale_share":0.727,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-11-04T06:34:25Z"}},"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":"explicit","locations":["Kuala Lumpur, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":39000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Anthropic","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"Embeddings","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OCR","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"XGBoost","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"FastAPI","optional":true},{"name":"Git","optional":true},{"name":"Hypothesis","optional":true},{"name":"JavaScript","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Material UI","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Pytest","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-10-06T12:26:04Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-11-04T22:33:47Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":29},"description":"Join New Era Technology, where People First is at the heart of everything we do. With a global team of over 3,000 professionals, we're committed to creating a workplace where everyone feels valued, empowered, and inspired to grow. Our mission is to securely connect people, places, and information with end-to-end technology solutions at scale.\nAt New Era, you'll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Guided by our core attributes - putting people first, embracing continuous learning, and thriving through collaboration and inclusion - we nurture our people to deliver exceptional customer service.\nIf you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you. Apply today and help us shape the future of work-together\n Hiring: Senior/Junior AI Engineers (Client Location) | New Era Technology \nClient Location: Kuala Lumpur, Malaysia\nCompany: New Era Technology -www.neweratech.com\nWork Type: Full-Time\nEmployment: Permanent\nAbout the Role:\nNew Era Technology is looking for experienced Senior/Junior AI Engineers to be deployed at our prestigious client in Malaysia at theirShah Alam, Selangoroffice.\nSenior AI Engineer\n About the Role\nAs a Senior AI Engineer, you will take end-to-end ownership of services on our AI Platform - a serverless, AWS-native platform that powers AI and machine learning across insurance operations. The platform supports both generative AI services (LLM-based document processing, extraction, classification, RAG, and chatbots) and custom ML models trained in-house (SageMaker pipelines, classical ML, and computer vision), served through a shared, governed infrastructure. You will make sure the key technical and design decisions - spanning Terraform infrastructure, CI/CD, model training and integration, inference, monitoring, and downstream integration - while ensuring that it meets our AI governance and Responsible AI standards.\nYou will lead the delivery of new AI initiatives across the organization - including fraud detection, document processing and intelligent extraction, claims and underwriting automation, and AI for operations - driving each from requirements and architecture through to a production, monitored deployment. As one of the experienced engineers on the team, you will set the technical direction and quality bar through hands-on design and code review, and help other engineers grow.\nResponsibilities\nSolution architecture ownership. Own the solution architecture for AI services and new initiatives - make and document technology and design decisions, define integration patterns across services, and ensure solutions align with platform standards, security, and AI governance.\nTechnical leadership & mentoring. Mentor and support other engineers, share knowledge across the team, and help grow AI/ML capability. Set and uphold engineering best practices through code and architecture review.\nArchitecture & code review. Review designs and code from the team to ensure quality, maintainability, security, and consistency with platform standards, and provide constructive, actionable feedback.\nDeliver new AI projects. Take new initiatives from concept to production across areas such as fraud detection, document processing and intelligent extraction, underwriting automation, and AI for operations. Gather requirements, design the solution and architecture, build it on the shared platform, and hand it over as a monitored, governed production service.\nPlatform engineering & IaC. Implement and enhance the AI and analytics platform using Infrastructure as Code with Terraform. Keep changes aligned with existing VPC, IAM, API Gateway, and data-layer architecture.\nEnd-to-end ML/AI lifecycle. Manage models across the full lifecycle. This covers training and deploying custom ML models (e.g. classification, regression, object detection / computer vision) via our SageMaker MLOps pipeline (preprocess → train → evaluate → conditionally register), as well as integrating LLM as needed. Cover model import, training, evaluation, deployment, inference execution, monitoring, and integration of outputs into downstream applications and automation workflows.\nServerless AI pipelines. Build scalable, serverless AI and data processing pipelines on AWS.\nGenerative AI solutions. Develop and integrate GenAI features - LLM-based classification and extraction, document/case analysis, RAG, and chatbots - into operational workflows.\nAutomation of core insurance operations. Support automation across: (i) data capture and verification from documents (OCR + LLM-based extraction); (ii) automated adjudication, eligibility checks, and benefit/reserve calculations; (iii) fraud/anomaly detection using ML and analytics; and (iv) workflow automation for processes such as claims assessment, payment initiation, notifications, and underwriting.\nVendor evaluation & third-party integration. Support end-to-end vendor evaluation and procurement (RFI, RFP, selection, due diligence) and adapt third-party AI solutions into the GIMB environment, aligned with architectural principles, AI governance, and technical standards. Manage integrations with enterprise platforms, data services, and corporate systems.\nCross-functional collaboration. Work with data engineers, business analysts, business units, and other stakeholders to gather requirements, onboard new use cases and lines of business, and integrate AI outputs into business processes and reporting.\nAI governance & Responsible AI. Support the AI governance framework: complete AI Risk Assessments before production deployment, maintain the AI Model Registry, document prompt designs and model/classification logic, keep human-in-the-loop QC workflows, and enforce data-privacy controls.\nGround truth, evaluation & observability. Develop ground-truth datasets and labeling processes for training, evaluation, and monitoring. Compile accuracy/performance metrics and statistical analysis to drive model improvement. Implement structured logging, CloudWatch dashboards, and alarms/SNS notifications for service health, error rates, and model degradation.\nRequirements\nMust-have\nProficiency in Python and ML frameworks/algorithms (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow).\nStrong grasp of generative AI and LLM techniques: prompt engineering, structured extraction, RAG, embeddings, and integrating hosted models (Anthropic Claude, Amazon Bedrock).\nExperience training and operationalizing custom ML models end to end (data prep, training, evaluation, deployment, monitoring).\nExperience designing and deploying on AWS, hands-on with core services used here: Lambda, API Gateway, Step Functions, SageMaker, Bedrock, Textract, DynamoDB, S3, ECR, SSM Parameter Store, CloudWatch, VPC/IAM.\nInfrastructure as Code with Terraform - modules, per-environment state backends, plan/apply workflows (AWS CDK a plus).\nSolid MLOps understanding: CI/CD, model registration, monitoring, and drift detection.\nProven ability to own solution architecture and mentor engineers, including leading design and code reviews.\nFamiliarity with event-driven and serverless architectures (Lambda / Step Functions).\nContainer skills: Docker (Python slim base images, Lambda container images) and image lifecycle management in ECR.\nCI/CD with GitHub Actions, including OIDC federation to AWS (no long-lived credentials) and environment-gated promotion.\nNice-to-have\nOCR and document-intelligence experience (AWS Textract, IDP pipelines).\nComputer vision / object detection experience (e.g. training and deploying detection models).\nVector search / RAG with a vector store (e.g. pgvector).\nData warehouse familiarity such as Amazon Redshift.\nTesting and quality tooling: pytest, property-based testing (Hypothesis / fast-check), and SAST/dependency scanning.\nAPI contract discipline with OpenAPI specs.\nFull-stack awareness for AI applications: FastAPI backends and React/Vite/MUI frontends.\nExposure to Responsible AI practices and LLM guardrails (content filtering, confidence scoring, human review).\nAWS certifications (AI/ML Specialty, Solutions Architect) or equivalent.\nJunior AI Engineer\nAbout the Role\nYou will help build, operate, enhance, and maintain our AI Platform - a serverless, AWS-native platform that powers AI and machine learning across insurance operations. The platform supports both generative AI services (LLM-based document processing, extraction, classification, RAG, and chatbots) and custom ML models trained in-house (SageMaker pipelines, classical ML, and computer vision), served through a shared, governed infrastructure. Working alongside senior engineers, you will deliver features and services across the lifecycle - from Terraform infrastructure and CI/CD through model training and integration, inference, monitoring, and downstream integration - within our AI governance and Responsible AI framework.\nYou will also contribute to a growing pipeline of new AI initiatives across the organization - including fraud detection, document processing and intelligent extraction, claims and underwriting automation, and AI for operations - implementing well-scoped parts of each and growing toward broader ownership over time.\nResponsibilities\nPlatform engineering & IaC. Implement and enhance platform components using Infrastructure as Code with Terraform, following established patterns. Make changes that fit the existing VPC, IAM, API Gateway, and data-layer architecture, with review and guidance from senior engineers.\nML/AI lifecycle. Contribute across the model lifecycle - training and deploying custom ML models (e.g. classification, regression, computer vision) via our SageMaker MLOps pipeline (preprocess → train → evaluate → conditionally register), and integrating hosted LLMs as needed. Support model import, training, evaluation, deployment, inference execution, monitoring, and integration of outputs into downstream applications.\nContribute to new AI projects. Take on well-defined workstreams within new initiatives - fraud detection, document processing and intelligent extraction, underwriting automation, and AI for operations - implementing, testing, and deploying features on the shared platform under an agreed design.\nServerless AI pipelines. Build and maintain event-driven, serverless processing pipelines\nGenerative AI solutions. Develop and integrate GenAI features - LLM-based classification and extraction, document/case analysis, RAG, and chatbots - into operational workflows.\nAutomation of core insurance operations. Support automation across: (i) data capture and verification from documents (OCR + LLM-based extraction); (ii) automated adjudication, eligibility checks, and benefit/reserve calculations; (iii) fraud/anomaly detection using ML and analytics; and (iv) workflow automation for processes such as claims assessment, payment initiation, notifications, and underwriting.\nCross-functional collaboration. Work with data engineers, business analysts, and other stakeholders to understand requirements, onboard new use cases, and integrate AI outputs into business processes and reporting.\nAI governance & Responsible AI. Follow the AI governance framework in day-to-day work: contribute to AI Risk Assessments, keep the AI Model Registry entries current for services you work on, document prompt designs and model/classification logic, respect human-in-the-loop QC workflows, and apply data-privacy controls.\nTesting, evaluation & observability. Write unit, integration, and property-based tests for the code you ship. Help build and maintain ground-truth datasets, compile accuracy/performance metrics, and add structured logging, CloudWatch dashboards, and alarms to keep services healthy and observable.\nRequirements\nMust-have\nProficiency in Python and common ML frameworks/algorithms (e.g. scikit-learn, XGBoost, PyTorch, or TensorFlow)....","description_format":"text","description_chars":14701,"description_truncated":true,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Professional development"],"hiring_locations":[{"name":"Malaysia","iso":"MY","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Security","Managed IT Services (MSP)","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-06T14:59:33Z"}],"visa":[],"liveness":{"score":32,"band":"fade","label":"Fading","p_open":1,"p_active":0.583,"p_room":0.55,"age_days":28,"expected_fill_days":25,"reasons":["conf:3","stale_co","velocity","win:tail"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/new-era-technology-senior-ai-engineer-ai-engineer","json_url":"https://alion.io/job/new-era-technology-senior-ai-engineer-ai-engineer.json","meta":{"generated_at":"2026-11-05T01:14:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1462,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4303},"rest":"https://alion.io/mcp/rest/get_company?id=4303"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnew-era-technology-senior-ai-engineer-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnew-era-technology-senior-ai-engineer-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnew-era-technology-senior-ai-engineer-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/new-era-technology-senior-ai-engineer-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnew-era-technology-senior-ai-engineer-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1960135}},{"tool":"search_jobs","arguments":{"company":"neweratech.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1960135},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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