Lead AI Engineer I – R01571043
- 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 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
- 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
- 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
- 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)
Responsibilities
• Lead end-to-end execution of projects and cross-functional deliverables for Lead AI Engineer I - R01571043.
• 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
Sign in to check profile matchRequired competencies and technical background for this position:
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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