Lead AI Engineer I

Brillio
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 4-6 yearsEducation: bachelorsSkills: []

Design and build end-to-end intelligent full-stack applications, integrating frontend, backend, and APIs. Develop cloud-native solutions on Azure, AWS, and GCP, and implement agentic AI workflows including multi-agent systems. Build scalable microservices and event-driven backends optimized for performance and security. Apply LLM frameworks and orchestration tools to deliver adaptive workflows, with strong focus on code quality, testing, debugging, observability, and performance.

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FursaFursa
Brillio
Brillio
2 days ago

Lead AI Engineer I

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Design and build end-to-end intelligent full-stack applications, integrating frontend, backend, and APIs. Develop cloud-native solutions on Azure, AWS, and GCP, and implement agentic AI workflows including multi-agent systems. Build scalable microservices and event-driven backends optimized for performance and security. Apply LLM frameworks and orchestration tools to deliver adaptive workflows, with strong focus on code quality, testing, debugging, observability, and performance.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and build end-to-end full-stack intelligent applications, integrating frontend, backend, and APIs using modern frameworks.
  • •Develop and deploy cloud-native solutions on Azure, AWS, and GCP.
  • •Build agentic AI applications, including multi-agent systems and autonomous workflows.
  • •Develop scalable backend systems with microservices and event-driven architectures, optimizing for performance, security, and scalability.
  • •Use LLM-based frameworks and agent orchestration tools to create intelligent, adaptive workflows while applying best practices in testing, debugging, observability, and performance.

Key Requirements

  • •4 to 6 years of ML engineering experience with hands-on development of cloud-native architectures and scalable full-stack systems.
  • •Advanced proficiency in Python and JavaScript/TypeScript, including building frontend experiences with React, Angular, or Vue.
  • •Backend expertise with Node.js, Java Spring Boot, or Python (FastAPI, Django), plus RESTful API and microservices design.
  • •Experience deploying cloud-native solutions on Azure, AWS, and GCP, including containers with Docker and basic Kubernetes knowledge.
  • •Hands-on agentic AI development using frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI, including prompt engineering and RAG.
Experience:4-6 years
Education:Bachelor's in Computer Science, Artificial Intelligence, Machine Learning, Data Science
Certifications:AWS Certified Machine Learning SpecialtyAzure AI Engineer AssociateGoogle Professional Machine Learning EngineerTensorFlow Developer CertificateReact Professional Certification
Tech Stack:PythonJavaScriptTypeScriptReactAngularVueNode.jsJavaSpring BootFastAPIDjangoAzureAWSGCPDockerKubernetesRESTful APIsMicroservicesLangChainLlamaIndex

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