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Lead AI Engineer I - R01571043

📅 Sep 10
📍 🇮🇳 Gurgaon - Hybrid🎺 Lead🤖 AI Engineer💼 Full-Time
Full-stack DevelopmentReactAngularVue
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📜 Description

  • Design and develop end-to-end applications across frontend, backend, and APIs.
  • Build and deploy agentic AI applications using multi-agent systems and autonomous workflows.
  • Implement scalable microservices and event-driven backend architectures.
  • Develop and deploy cloud-native solutions across Azure, AWS, and GCP.
  • Integrate LLM frameworks and agent orchestration tools into adaptive workflows.
  • Apply engineering best practices and collaborate on technical solutions, design reviews, and architecture decisions.

🛠️ 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)
Full job description
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:
  • 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)
    Apply Now

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