Senior Generative AI Architect

1 week ago

Jamnagar, Gujarat, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Role Overview:

We are seeking an experienced AI Engineer to design, develop and deploy next-generation intelligent solutions. The ideal candidate will have strong expertise in Python, Large Language Models and Agentic AI frameworks with the ability to build scalable multi-agent workflows and optimize autonomous systems.

Key Responsibilities
  • Design, develop and deploy AI solutions using frameworks such as Microsoft Autogen, CrewAI or LangGraph.
  • Build pipelines and workflows for LLM-based agent orchestration.
  • Integrate third-party APIs and services to enable autonomous behavior.
  • Deploy, manage and scale AI-driven solutions on AWS (Lambda, S3, EC2, SageMaker).
  • Collaborate with ML Engineers, Data Scientists and Product teams to build production-ready solutions.
  • Optimize agents for robustness, efficiency and performance.
  • Conduct code reviews and maintain high standards in Python development practices.
Required Skills & Qualifications
  • Strong proficiency in Python with experience in clean, modular and asynchronous programming.
  • Hands-on experience with AWS services (S3, EC2, Lambda, API Gateway, SageMaker).
  • Practical expertise in at least one Agentic AI framework: Microsoft Autogen, CrewAI or LangGraph.
  • Familiarity with LLMs and prompt engineering techniques.
  • Experience in multi-agent workflows and state management.
  • Exposure to FastAPI or Flask for AI service deployment.
Good to Have (Preferred Skills)
  • Knowledge of LangChain, RAG architectures and vector databases.
  • Experience with CI/CD pipelines (GitHub Actions, Jenkins).
  • Containerization using Docker and orchestration with Kubernetes.
  • Understanding of Reinforcement Learning or agent-based simulation.
Education
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science or related fields.

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