Lead AI Engineer I – R01571162
- Category
- CTO Office
- Required Skills
- See official employer job description
- Experience
- Lead
- Openings
- 1
- Apply by
- November 28, 2026
Know the opportunity before you apply.
- Business verification: Not confirmed
- Numeric salary range: Not disclosed — confirm before proceeding
- Source: External source · View original source
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- No-candidate-fee declaration: Not recorded for this listing
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Check my fit & prepare →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 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
- 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
- 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)
Responsibilities
• Lead end-to-end execution of projects and cross-functional deliverables for Lead AI Engineer I - R01571162.
• Collaborate closely with departmental peers and stakeholders to ensure seamless operational continuity.
• Monitor core performance KPIs, troubleshoot bottlenecks, and implement optimization protocols.
• Champion high quality standards, peer reviews, and comprehensive team documentation.
Candidate Skill Fit Analysis
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Estimated In-Hand Salary
New Tax Regime (AY 2026–27)Editable what-if calculation; when employer pay is not disclosed, the starting amount is an example, not a salary offer. Indicative estimate using standard assumptions for EPF, professional tax and Section 87A. Actual payroll, benefits and deductions vary by employer and individual.
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