Lead Ai Engineer I - R01571162

Brillio-2; United States; Hybrid; USD 27,000 - 43,000; Full time

Job summary

Brillio-2 is seeking a Lead AI Engineer I to design and build end-to-end intelligent applications with cloud-native architectures. You will develop scalable backend systems, leverage multi-agent workflows, and work with LLM frameworks to orchestrate autonomous processes.

The role requires 4–6 years in ML engineering, strong Python and JS/TS, and hands-on cloud deployment across Azure, AWS, or GCP, with experience in CI/CD and observability.

Qualifications

• 4–6 years in ML engineering with cloud-native architectures.
• Hands-on with agentic AI frameworks and scalable full-stack systems.
• Strong Python and JS/TS, plus modern frontend/backend tech.
• Experience deploying in Azure, AWS, or GCP.
• Familiarity with multi-agent systems and agent orchestration.

Responsibilities

• Design and build end-to-end full-stack intelligent apps.
• Develop and deploy cloud-native solutions on major cloud platforms.
• Build agentic AI apps including multi-agent workflows.
• Develop scalable backends with microservices and event-driven design.
• Work with LLM frameworks and RAG-based workflows.
• Maintain code quality, tests, observability, and performance.
• Collaborate across teams on architecture decisions.

Skills

Python

JavaScript/TypeScript

Frontend frameworks

Backend tech

Cloud platforms

Docker

Kubernetes basics

REST APIs

Agentic AI frameworks

Prompt engineering

RAG

CI/CD

Education

Bachelor's degree

Tools

LangChain

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

Job description

Lead AI Engineer I

Job requirements

Experience Range: With at least 4 to 6 years of experience in ML engineering, including hands‑on work with cloud-native architectures, agentic AI frameworks, and scalable full-stack systems

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 leveraging platforms such as Azure, AWS, and GCP
• Build and implement agentic AI applications, including multi-agent systems and autonomous workflows
• Develop scalable backend systems using microservices and event-driven architectures, optimizing for performance, security, and scalability
• Work with LLM-based frameworks and agent orchestration tools to create intelligent, adaptive workflows
• Ensure best practices in code quality, testing, debugging, observability, and performance optimization
• Collaborate with cross-functional teams to translate business requirements into robust technical solutions and participate in architectural decisions

Required Skills

• Advanced proficiency in Python and JavaScript/TypeScript
• Experience with frontend frameworks such as React, Angular, or Vue
• Backend expertise with Node.js, Java Spring Boot, or Python (FastAPI, Django)
• Hands‑on experience with cloud platforms (Azure, AWS, GCP)
• Proficiency in containers (Docker) and basic understanding of Kubernetes
• RESTful API and microservices design
• Experience with agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI
• Understanding of prompt engineering and Retrieval-Augmented Generation (RAG)
• Familiarity with CI/CD pipelines

Preferred Skills

• Experience with autonomous systems or multi-agent architectures
• Knowledge of conversational AI or AI-driven automation workflows
• Familiarity with vector databases (FAISS, Pinecone, etc.)
• Expertise in event streaming systems like Kafka or Pub/Sub
• Contributions to open-source projects or hackathons in AI/ML or full stack domains

Desired Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related discipline
• Certification in cloud platforms (e.g., AWS Certified Machine Learning Specialty, Azure AI Engineer Associate, Google Professional Machine Learning Engineer)
• Relevant certification in agentic AI frameworks or full-stack development (e.g., TensorFlow Developer Certificate, React Professional Certification)

Additional Information

Location: Bangalore (Hybrid)