Lead AI/ML Engineer - R01572495

Brillio; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Lever, Inc. is seeking a Lead AI/ML Engineer in Bengaluru, India to design, build, and deploy enterprise-scale AI platforms. You will develop agentic workflows, integrate with Microsoft 365 and other enterprise APIs, and implement RAG and vector search solutions for knowledge retrieval.

The role requires 4–6 years of hands-on experience with Azure AI services, LLMs, and modern agentic tools, with a focus on secure, scalable production deployments.

Qualifications

• Hands-on experience designing scalable AI platforms on Azure.
• Proficient with agentic frameworks and LLM prompts.
• Experience building enterprise RAG and vector search solutions.
• Strong integration skills with Microsoft 365 ecosystem.
• Proficient in Python and ML frameworks.
• Familiarity with AI security and governance on Azure.
• Experience with observability and evaluation tooling.
• Ability to architect reusable agent patterns and libraries.

Responsibilities

• Design, build, and deploy AI agents and multi-agent systems using Azure AI services and modern agentic frameworks.
• Develop and operationalize agentic workflows integrating AI with Microsoft 365, Teams, SharePoint, Dynamics 365, Power Platform, and APIs.
• Implement enterprise RAG solutions using Azure AI Search and vector search for knowledge retrieval.
• Build production-ready AI apps leveraging LLMs, RAG pipelines, tool calls, memory, and workflow orchestration.
• Establish observability, guardrails, responsible AI controls, and secure monitoring in production.
• Optimize agent and LLM apps for latency, accuracy, reliability, scalability, and cost.
• Collaborate with cross-functional teams to identify AI opportunities and prototype solutions quickly.
• Contribute to internal best practices on agent architecture, prompting, RAG, and model evaluation.

Skills

Azure AI services

Azure OpenAI

Azure AI Foundry

Agentic frameworks

LLM development

Prompt engineering

Enterprise RAG architectures

Vector search

Microsoft 365/Teams integration

Python for AI/ML

ML frameworks

AI workflow orchestration

Model evaluation tools

Azure security/governance

Education

Bachelor's degree in Computer Science/Data Science/Statistics/Mathematics

TensorFlow Developer Certificate

Azure AI Engineer Associate

SAS Certified Statistical Business Analyst

Tools

KubeFlow

BentoML

Evidently AI

Great Expectations

Azure Functions

Azure Container Apps

Azure Kubernetes Service (AKS)

Azure Storage

Job description

Lead AI/ML Engineer

Job requirements

Experience Range: With at least 4 to 6 years of experience designing, building, and operationalizing enterprise-scale AI platforms, including hands-on expertise in agentic AI, LLMs, and Azure-based solutions.

Key Responsibilities:

• Design, build, and deploy AI agents and multi-agent systems using Azure AI services, Azure OpenAI, and modern agentic frameworks such as Semantic Kernel, LangChain, LangGraph, and AutoGen.
• Develop and operationalize agentic workflows for business functions, integrating AI solutions with Microsoft 365, Teams, SharePoint, Dynamics 365, Power Platform, and enterprise APIs.
• Implement enterprise RAG solutions utilizing Azure AI Search, vector search, hybrid search, and semantic ranking to enhance knowledge retrieval and business decision-making.
• Build production-ready AI applications leveraging LLMs, RAG pipelines, tool/function calling, memory systems, and workflow orchestration for scalable, secure, and reliable enterprise deployment.
• Establish observability, guardrails, responsible AI controls, evaluation, security, and monitoring for AI applications in production environments.
• Optimize agent and LLM applications for latency, accuracy, reliability, scalability, security, and cost, applying advanced techniques and metrics.
• Collaborate with cross-functional teams to identify AI opportunities, rapidly prototype solutions, and iterate based on user feedback.
• Contribute to internal best practices around agent architecture, prompting, RAG, model selection, evaluation, and AI engineering standards.

Required Skills:

• Hands-on experience with Azure AI services, Azure OpenAI, and Azure AI Foundry
• Expertise in agentic frameworks (Semantic Kernel, LangChain, LangGraph, AutoGen)
• LLM application development and prompt engineering
• Enterprise RAG architectures and vector search technologies
• Integration with Microsoft 365, Teams, SharePoint, Dynamics 365, Power Platform, and APIs
• Python programming for AI/ML solutions
• ML frameworks (TensorFlow, PyTorch, Sci-Kit Learn, Keras)
• AI workflow orchestration tools (KubeFlow, BentoML)
• Model evaluation and observability tools (Evidently AI, Great Expectations)
• AI security and governance on Azure

Preferred Skills:

• Experience with Azure Functions, Azure Container Apps, Azure Kubernetes Service (AKS), and Azure Storage
• Proficiency in R and R Studio for statistical computing
• Knowledge of SAS or SPSS for advanced statistical modeling
• Familiarity with microservices, event-driven architectures, and enterprise integrations
• Expertise in developing reusable agent frameworks, prompt libraries, and deployment patterns

Desired Qualifications:

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related discipline
• Certification in Machine Learning or Data Science from a recognized institution (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer Associate)
• Certification in statistical analysis tools or platforms (e.g., SAS Certified Statistical Business Analyst)