Sr AI/ML Engineer
Brillio · Bengaluru · onsite · Posted 27d ago
Undisclosed4–5 yrsfulltimeSourced from
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About this role
Senior AI/ML Engineer
Job requirements
- 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 that allow agents to interact safely with enterprise systems.
- Apply responsible-AI and security controls, including authentication, authorization, data protection, audit logging, and human oversight.
- Implement automated testing for prompts, tools, integrations, workflows, security controls, and end-to-end agent behaviour.
- Establish monitoring for quality, latency, cost, tool failures, model behaviour, and production incidents.
- Build CI/CD pipelines and support-controlled releases, rollback, versioning, and environment management.
- Troubleshoot production issues and continuously improve agent reliability and performance.
- Partner with Architecture to translate approved patterns and standards into deployable solutions.
- 4-5 years of experience in software, cloud, integration, automation, or AI engineering.
- At least 1-2 years of hands-on experience deploying LLM or agentic applications into production.
- Strong development experience in Python and working knowledge of APIs, event-driven integrations, and databases.
- Experience with at least one agent framework or platform, Agents SDK, LangGraph, LangSmith, Semantic Kernel, AWS Bedrock, or a comparable solution.
- Experience implementing retrieval, tool calling, workflow orchestration, structured outputs, and human-in-the-loop processes.
- Practical experience with Git, automated testing, CI/CD, containers, and cloud deployment.
- Experience with production monitoring, logging, alerting, incident investigation, and performance optimization.
- Understanding of enterprise security, identity, secrets management, access controls, and protection of sensitive data.
- Ability to work across architecture, security, platform, and business teams.
- Experience with Azure or AWS and infrastructure-as-code tools.
- Familiarity with Kubernetes, serverless services, API gateways, message queues, or workflow platforms.
- Experience evaluating agent quality, task completion, groundedness, tool selection, safety, latency, and cost.
- Understanding of tracing and observability across prompts, models, tools, APIs, and workflow steps.
- Experience integrating AI solutions with platforms such as SharePoint, Salesforce, ServiceNow, Jira, or enterprise data services.
- Agentic solutions move from approved design to production through a repeatable and governed process.
- Deployments are secure, observable, testable, and recoverable.
- Agent decisions, tool calls, data access, failures, and human approvals are traceable.
- Solutions meet agreed expectations for reliability, quality, latency, cost, and responsible-AI controls.
AI 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
Required Experience
Preferred Experience
What Success Looks Like
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Design PatternsAutomationBedrockCloud DeploymentCI/CD Pipelinesdata servicesapisautomated testingaws bedrockamazon web servicesdata protectionAi ResearchdeploymentcloudArchitectureAi SolutionsMicrosoft AzureArtificial Intelligence
About Brillio
Brillio
IT Services & Consulting
3.7k+
employees
2014
12 years old
Dallas, US state of Texas
CU
About
Brillio offers comprehensive digital transformation services, focusing on customer experience, AI, and product engineering to drive business innovation.
Industries
IT Services & ConsultingAnalytics & KPO
Employee ratings
1,318 reviews
3.4/ 5
Culture
3.2
Career growth
2.8
Work-life
3.4
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