Posted:2 days ago| Platform: Foundit logo

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Job Type

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Job Description

Job Summary

Drive cutting-edge research and development in autonomous AI agents, Agentic AI, and GenAI systems to power next-gen airline solutions.Key Responsibilities
  • Design, develop, and deploy autonomous AI agents using Agentic AI frameworks.
  • Build and optimize multi-agent collaboration protocols (MCP, A2A) for scalable decision-making systems.
  • Fine-tune large language models (LLMs) for domain-specific airline use cases.
  • Architect and implement GenAI solutions for operational and customer-facing applications.
  • Conduct experiments and benchmarking for model performance and reliability.
  • Collaborate with engineering teams to integrate AI models into cloud-native environments (Azure/GCP).
  • Publish findings, contribute to patents, and represent the lab in external forums and conferences.

Required Skills / Must-Have

  • Technical Skills: Python, PyTorch/TensorFlow, LangChain, FastAPI, Azure ML or Vertex AI, Docker/Kubernetes.
  • AI/ML Expertise: Autonomous agents, Agentic AI, LLM fine-tuning, GenAI pipelines.
  • Protocols: MCP (Multi-agent Collaboration Protocol), A2A (Agent-to-Agent Communication).
  • Cloud Platforms: Azure or GCP (hands-on experience).
  • Experience: 25 years in applied AI/ML, preferably in innovation or R&D settings.

Nice-to-Have / Preferred Skills

  • Experience with airline industry datasets or operational systems.
  • Familiarity with Reinforcement Learning (RL) and multi-agent systems.
  • Knowledge of MLOps practices and CI/CD for ML workflows.
  • Contributions to open-source AI projects or publications in top-tier conferences.

Education & Qualifications

Primary: Bachelor's in Engineering or Mathematics with strong AI/ML experience.Secondary: Master's or PhD in Computer Science, AI/ML, Data Science, or related field.Certifications/LicensesPreferred: Azure AI Engineer Associate, Google Cloud ML Engineer, TensorFlow Developer Certificate.Skills Grouping & SynonymsAI/ML: Autonomous agents / Agentic AI / multi-agent systems / GenAI / LLM fine-tuningCloud: Azure ML / GCP Vertex AI / cloud-native ML / MLOpsProtocols: MCP / multi-agent collaboration / A2A / agent communicationDevelopment: Python / FastAPI / LangChain / PyTorch / TensorFlow'

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