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Lead AI Engineer I R
Job Location:
Monthly Salary:
Posted:
15 September 2026 (20 hours ago)
Posted:
Application Deadline:
13 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Lead AI Engineer I
Job requirements
- 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
- Advanced proficiency in Python and JavaScript/TypeScript
- Experience with frontend frameworks such as React Angular or Vue
- Backend expertise with 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
- 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
- Bachelors 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)
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:
Required Skills:
Preferred Skills:
Desired Qualifications:
Additional Information: Location: Bangalore (Hybrid)
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.
Required Experience:
IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
