Senior AI/ML Engineer

Brillio
Bengaluru, Karnataka
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4-5 yearsSkills: ["Troubleshooting","Cross-functional collaboration","Reliability focus","Responsible AI","Performance optimization"]

Build and deploy production-grade agentic AI solutions, translating approved designs into secure, reliable, and scalable workflows. You will integrate agents with enterprise APIs, knowledge sources, databases, and automation platforms, implement tool calling and human-in-the-loop controls, and create reusable services and APIs. Own testing, monitoring, CI/CD, rollback/versioning, and incident troubleshooting to ensure quality, latency, cost, and responsible-AI compliance.

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FursaFursa
Brillio
Brillio
1 day ago

Senior AI/ML Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and deploy production-grade agentic AI solutions, translating approved designs into secure, reliable, and scalable workflows. You will integrate agents with enterprise APIs, knowledge sources, databases, and automation platforms, implement tool calling and human-in-the-loop controls, and create reusable services and APIs. Own testing, monitoring, CI/CD, rollback/versioning, and incident troubleshooting to ensure quality, latency, cost, and responsible-AI compliance.
Location: Bengaluru, Karnataka
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and deploy production-grade AI agents and multi-step orchestration workflows based on approved architecture.
  • •Integrate agents with enterprise APIs, knowledge sources, business applications, databases, and automation platforms.
  • •Implement tool calling, workflow state, memory, human approvals, exception handling, and recovery mechanisms.
  • •Develop reusable services and APIs for safe interaction with enterprise systems, applying responsible-AI and security controls.
  • •Create automated testing, monitoring/alerting, and CI/CD pipelines for secure, observable, testable, recoverable deployments; troubleshoot and improve reliability and performance.

Key Requirements

  • •4–5 years of software/cloud/integration/automation/AI engineering experience, including 1–2 years deploying LLM/agentic applications into production.
  • •Strong Python development and working knowledge of APIs, event-driven integrations, and databases.
  • •Experience with at least one agent framework/platform (Agents SDK, LangGraph, LangSmith, Semantic Kernel, AWS Bedrock, or comparable).
  • •Implement retrieval, tool calling, workflow orchestration, structured outputs, and human-in-the-loop processes.
  • •Hands-on production engineering with Git, automated testing, CI/CD, containers, cloud deployment, monitoring/logging/alerting, and incident investigation.
Experience:4-5 yearsAICloudEnterprise softwareAutomation
Skills:TroubleshootingCross-functional collaborationReliability focusResponsible AIPerformance optimization
Tech Stack:PythonAPIsGitCI/CDContainersCloud deploymentLLMsAgentic applicationsTool callingWorkflow orchestrationStructured outputsHuman-in-the-loopRetrievalLangGraphLangSmithAgents SDKSemantic KernelAWS BedrockMonitoringLogging

Company Brief

Brillio
Provides digital transformation and IT consulting services, including cloud migration, analytics, digital engineering, and managed services to accelerate business outcomes for enterprises across industries.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Santa Clara, United States
Founded: 2014
WebsiteLinkedIn