{"id":1143201,"url":"https://alion.io/job/brillio-senior-aiml-engineer-r01571019","title":"Senior AI/ML Engineer - R01571019","company":{"id":3063,"name":"Brillio","domain":"brillio.com","url":"https://alion.io/company/brillio","size_band":"1001-5000","is_staffing_agency":true,"is_intermediary":false,"ats_vendor":"Lever","truth_index":{"grade":"B","score":80,"open_postings":45,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-09-24T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":95000,"period":"year","method":"role_seniority_country_cell","sample_n":10},"experience_years_min":4,"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":"CI/CD","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Python","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"Azure","optional":true},{"name":"Jira","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"ServiceNow","optional":true},{"name":"SharePoint","optional":true}],"status":"live","first_seen_at":"2026-09-23T11:31:44Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T13:52:05Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Senior AI/ML Engineer\nJob requirements\nAI Production Engineer - Agentic Systems Role Overview We are looking for an AI Production Engineer to turn agentic AI designs into secure, reliable, and scalable production solutions. Working closely with Enterprise Architecture, Security, this role will build and deploy agents, orchestration workflows, integrations, and the supporting production control. This is a hands-on engineering role focused on operationalizing AI, not AI research or model training. The successful candidate should be comfortable working with different agentic design patterns, technology platforms, and models. Key Responsibilities\nBuild and deploy production-grade AI agents and multi-step orchestration workflows based on approved architecture.\nIntegrate agents with enterprise APIs, knowledge sources, business applications, databases, and automation platforms.\nImplement tool calling, workflow state, memory, human approvals, exception handling, and recovery mechanisms.\nDevelop reusable services and APIs that allow agents to interact safely with enterprise systems.\nApply responsible-AI and security controls, including authentication, authorization, data protection, audit logging, and human oversight.\nImplement automated testing for prompts, tools, integrations, workflows, security controls, and end-to-end agent behaviour.\nEstablish monitoring for quality, latency, cost, tool failures, model behaviour, and production incidents.\nBuild CI/CD pipelines and support-controlled releases, rollback, versioning, and environment management.\nTroubleshoot production issues and continuously improve agent reliability and performance.\nPartner with Architecture to translate approved patterns and standards into deployable solutions.\nRequired Experience\n4-5 years of experience in software, cloud, integration, automation, or AI engineering.\nAt least 1-2 years of hands-on experience deploying LLM or agentic applications into production.\nStrong development experience in Python and working knowledge of APIs, event-driven integrations, and databases.\nExperience with at least one agent framework or platform, Agents SDK, LangGraph, LangSmith, Semantic Kernel, AWS Bedrock, or a comparable solution.\nExperience implementing retrieval, tool calling, workflow orchestration, structured outputs, and human-in-the-loop processes.\nPractical experience with Git, automated testing, CI/CD, containers, and cloud deployment.\nExperience with production monitoring, logging, alerting, incident investigation, and performance optimization.\nUnderstanding of enterprise security, identity, secrets management, access controls, and protection of sensitive data.\nAbility to work across architecture, security, platform, and business teams.\nPreferred Experience\nExperience with Azure or AWS and infrastructure-as-code tools.\nFamiliarity with Kubernetes, serverless services, API gateways, message queues, or workflow platforms.\nExperience evaluating agent quality, task completion, groundedness, tool selection, safety, latency, and cost.\nUnderstanding of tracing and observability across prompts, models, tools, APIs, and workflow steps.\nExperience integrating AI solutions with platforms such as SharePoint, Salesforce, ServiceNow, Jira, or enterprise data services.\nWhat Success Looks Like\nAgentic solutions move from approved design to production through a repeatable and governed process.\nDeployments are secure, observable, testable, and recoverable.\nAgent decisions, tool calls, data access, failures, and human approvals are traceable.\nSolutions meet agreed expectations for reliability, quality, latency, cost, and responsible-AI controls.","description_format":"text","description_chars":3652,"description_truncated":false,"requirements":{"experience_years_min":4,"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":[],"lifecycle":[{"event":"open","at":"2026-09-23T13:28:58Z"}],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.379,"p_room":1,"age_days":0,"expected_fill_days":21,"reasons":["conf:0","agency","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/brillio-senior-aiml-engineer-r01571019","json_url":"https://alion.io/job/brillio-senior-aiml-engineer-r01571019.json","meta":{"generated_at":"2026-09-24T13:59:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}