BR
BrillioLead AI Engineer I - R01571042
LocationBangalore, Karnataka, India
Work modehybrid
Typefull-time
SeniorityLead
Experience2–4 yrs
DepartmentCTO Office, CTO Office : CTO Office
Company size5,001–10,000 people
PostedSep 10, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
2 to 4 years of experience in full-stack data science
Practical exposure to cloud-native architectures
Practical exposure to agentic AI frameworks
Design and develop end-to-end full-stack applications, covering frontend, backend, and API components
Build and deploy agentic AI applications using multi-agent systems and autonomous workflows
Implement scalable backend systems with microservices and event-driven architectures
Develop cloud-native solutions on platforms such as Azure, AWS, and GCP
Integrate LLM-based frameworks and agent orchestration tools
Enforce best practices in code quality, testing, debugging, observability, performance optimization, security, and scalability
Collaborate with cross-functional teams to deliver technical solutions aligned with business requirements
Contribute to design reviews and architectural decisions for AI-driven systems
Full-stack development with React, Angular, or Vue for frontend
Backend development using Node.js, Java Spring Boot, or Python frameworks (FastAPI, Django)
RESTful API design and microservices architecture
Experience with Azure, AWS, and GCP cloud platforms
Hands-on experience with Docker containers and Kubernetes
CI/CD pipeline implementation
Agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI
Prompt engineering and Retrieval-Augmented Generation (RAG) techniques
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline
Familiarity with vector databases such as FAISS or Pinecone
Knowledge of event streaming systems like Kafka or Pub/Sub
Experience with federated learning or privacy-preserving algorithms
Contributions to open-source projects or hackathons in AI/ML or full-stack domains
Experience with model experimentation platforms such as Domino Datalabs or Databricks ML
Skills
React
Angular
Vue
Node.js
Java Spring Boot
FastAPI
Django
Azure
AWS
GCP
Docker
Kubernetes
LangChain
LlamaIndex
Semantic Kernel
AutoGen
CrewAI
FAISS
Pinecone
Kafka
Pub/Sub
Domino Datalabs
Databricks ML
Analyst
Job requirements
Experience Range: With at least 2 to 4 years of experience in full-stack data science, including practical exposure to cloud-native architectures and agentic AI frameworks Key Responsibilities:
Responsibilities
•
Design and develop end-to-end full-stack applications, covering frontend, backend, and API components
•
Build and deploy agentic AI applications using multi-agent systems and autonomous workflows
•
Implement scalable backend systems with microservices and event-driven architectures to support intelligent solutions
•
Develop cloud-native solutions on platforms such as Azure, AWS, and GCP, ensuring robust and scalable deployments
•
Integrate LLM-based frameworks and agent orchestration tools to enable adaptive and intelligent workflows
•
Enforce best practices in code quality, testing, debugging, observability, performance optimization, security, and scalability
•
Collaborate with cross-functional teams to deliver technical solutions aligned with business requirements
•
Contribute to design reviews and architectural decisions for AI-driven systems
Required Skills:
•
Full-stack development with React, Angular, or Vue for frontend
•
Backend development using Node.js, Java Spring Boot, or Python frameworks (FastAPI, Django)
•
RESTful API design and microservices architecture
•
Experience with Azure, AWS, and GCP cloud platforms
•
Hands-on experience with Docker containers and Kubernetes
•
CI/CD pipeline implementation
•
Agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI
•
Prompt engineering and Retrieval-Augmented Generation (RAG) techniques
Preferred Skills:
•
Familiarity with vector databases such as FAISS or Pinecone
•
Knowledge of event streaming systems like Kafka or Pub/Sub
•
Experience with federated learning or privacy-preserving algorithms
•
Contributions to open-source projects or hackathons in AI/ML or full-stack domains
•
Experience with model experimentation platforms such as Domino Datalabs or Databricks ML
Desired Qualifications:
•
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline
•
Certification in cloud platforms (e.g., AWS Certified Machine Learning Specialty, Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer)
•
Certification in full-stack development or AI frameworks (e.g., Full Stack Web Development, TensorFlow Developer Certificate)
Additional Information: Location: Bangalore (Hybrid work arrangement)