Transformative AI Solutions Architect

5 days ago

Bhavnagar, Gujarat, India beBeeGenerative Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Opportunity:

We are seeking an experienced Senior Generative AI Engineer to design, develop, and deploy next-generation intelligent agent solutions.

Key Responsibilities:

  • Designing and Developing Agentic AI Solutions: Utilize frameworks such as Microsoft Autogen, CrewAI, or LangGraph to create cutting-edge intelligent agent solutions.
  • Agent Orchestration Pipelines: Establish efficient workflows for LLM-based agent orchestration to streamline operations.
  • Integrating APIs and Services: Seamlessly integrate third-party APIs, tools, and services to empower autonomous agent behavior.
  • Deploying and Managing AI Solutions: Deploy, manage, and scale AI-driven solutions on AWS (Lambda, S3, EC2, SageMaker, API Gateway, etc.) to ensure optimal performance.
  • Collaboration with Cross-Functional Teams: Collaborate with ML Engineers, Data Scientists, and Product teams to build production-ready solutions that meet the highest standards.
  • Optimizing Agent Performance: Continuously optimize agents for robustness, efficiency, and performance to achieve exceptional results.

Requirements:

  • Proficiency in Python: Possess strong proficiency in Python with experience in clean, modular, and asynchronous programming practices.
  • AWS Expertise: Have hands-on experience with AWS services (S3, EC2, Lambda, API Gateway, SageMaker) and a deep understanding of their capabilities.
  • Agentic AI Frameworks: Demonstrate practical expertise in at least one Agentic AI framework, showcasing your ability to adapt and apply knowledge effectively.
  • LLM and Prompt Engineering: Display familiarity with LLMs (OpenAI, Claude, Mistral, etc.) and prompt engineering techniques, ensuring seamless integration into your workflow.
  • Multi-Agent Workflows: Showcase experience in multi-agent workflows and agent state management to guarantee smooth operation.
  • FastAPI or Flask Experience: Have exposure to FastAPI or Flask for AI service deployment, enabling you to efficiently bring solutions to life.

Nice to Have:

  • LangChain, RAG Architectures, and Vector Databases: Possess knowledge of LangChain, RAG architectures, and vector databases (Pinecone, FAISS, Weaviate) to further enhance your skills.
  • CI/CD Pipelines: Demonstrate experience with CI/CD pipelines (GitHub Actions, Jenkins) to ensure seamless deployment and testing.
  • Containerization and Orchestration: Showcase containerization using Docker and orchestration with Kubernetes to guarantee scalable and efficient operations.
  • Reinforcement Learning or Agent-Based Simulation: Display understanding of Reinforcement Learning or agent-based simulation to expand your skillset.

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