{"id":1264483,"url":"https://alion.io/job/aggne-global-it-services-ai-engineer","title":"AI Engineer","company":{"id":3800697,"name":"Aggne Global IT Services","domain":"aggne.com","url":"https://alion.io/company/aggne-global-it-services","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":63000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":292},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"AWS","optional":true},{"name":"FAISS","optional":true},{"name":"GCP","optional":true},{"name":"Pinecone","optional":true}],"status":"live","first_seen_at":"2026-06-22T06:41:48Z","employer_posted_date":"2026-06-22","last_verified_at":"2026-09-27T04:56:33Z","board_verified":true,"closed_at":null,"days_open":96,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":96},"description":"Role: AI Platform Engineer - GenAI / LLM Infrastructure\nLocation: Hyderabad\nExperience: 1-4 years\nJob Description:\nRole Summary\nWe are hiring AI Platform Engineers to design, build, and scale the core AI infrastructure and platform capabilities that power enterprise-grade AI solutions.\nThis role focuses on:\nBuilding reusable AI infrastructure and pipelines\nEnabling scalable deployment of LLM-based systems\nEnsuring reliability, observability, and governance of AI systems\n\nKey Responsibilities:\n1. AI/ML Infrastructure & Pipeline Engineering\nDesign and build end-to-end AI/ML pipelines, including: Data ingestion\nData transformation\nModel interaction (LLMs / APIs)\nOutput processing\nImplement scalable and modular pipelines for enterprise AI systems \n\n2. LLM Platform & System Design\nBuild foundational components for LLM-based systems, including: \nPrompt orchestration frameworks\nRetrieval pipelines (RAG infrastructure)\nContext management layers\nEnable standardized patterns for integrating multiple LLM providers (OpenAI, Azure, HuggingFace)\n\n3. MLOps & AI Deployment\nDevelop and maintain CI/CD pipelines for AI systems\nEnable: Automated deployment of AI models\nVersion control for models and workflows\nContinuous evaluation and monitoring\n\nBuild systems for: Experiment tracking\nModel lifecycle management\n\n4. System Reliability, Scalability & Performance\nEnsure AI systems meet enterprise-grade requirements for: Scalability\nHigh availability\nLow latency\nOptimize infrastructure for: \nCost efficiency\nPerformance of LLM-based workloads\nImplement failover, retry, and resilience mechanisms\n\n5. Observability & Governance\nDesign and implement monitoring systems for: Model performance\nDrift detection\nLatency and usage metrics\nBuild guardrails for: \nResponsible AI usage\nOutput validation and traceability\n\nEnsure compliance with enterprise-grade governance requirements\n\n6. Reusable Platform Components\nBuild reusable platform modules such as: AI service layers\nModel serving endpoints\nWorkflow orchestration frameworks\n\nEnable internal teams to build AI applications on top of standardized platform capabilities \n\n7. Integration with Enterprise Ecosystems\nEnable AI systems to integrate seamlessly with: \nEnterprise applications\nInsurance platforms (e.g., Duck Creek ecosystem)\nSupport “no data leaves environment” principles and secure deployment architectures \n\n8. Collaboration & Platform Enablement\nWork closely with: AI Application Engineers\nProduct Managers (Flarre)\nDevOps and Cloud teams\n\nEnable broader engineering teams to build and deploy AI solutions on the platform\n\nQualifications:\nCore Engineering\nStrong Python programming\nExperience with: Backend systems / APIs\nData pipelines (ETL / processing frameworks)\n\nAI Platform & MLOps\nUnderstanding of: ML lifecycle management\nCI/CD pipelines\nModel deployment strategies\n\nExposure to: LLM ecosystems (OpenAI / Azure / HuggingFace)\nAPI-based AI integration \n\nSystems & Infrastructure\nKnowledge of: \nDistributed systems concepts\nSystem design fundamentals\nFamiliarity with: \nContainerization (Docker)\nOrchestration tools (Kubernetes)\n\nGood to Have Skills\nExperience with: Vector databases (Pinecone, FAISS)\nWorkflow orchestration tools\n\nExposure to Cloud platforms (Azure / AWS / GCP)\nUnderstanding of Observability tools (monitoring/logging systems)\n\nDomain Expertise (Preferred)\nExposure to enterprise systems in: \nInsurance / BFSI domain\nUnderstanding of: Data security and compliance requirements\nLarge-scale enterprise architecture","description_format":"text","description_chars":3502,"description_truncated":false,"requirements":{"experience_years_min":1,"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":["IT Consulting & Digital Transformation","InsurTech"],"lifecycle":[{"event":"open","at":"2026-09-25T21:51:00Z"}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.145,"p_room":0.28,"age_days":95,"expected_fill_days":17,"reasons":["conf:0","win:tail","crowd:junior"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/aggne-global-it-services-ai-engineer","json_url":"https://alion.io/job/aggne-global-it-services-ai-engineer.json","meta":{"generated_at":"2026-09-27T05:10:41Z","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":4540,"day_limit":5000,"remaining_today":460,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}