Senior Architectural Specialist

2 days ago

Mysore, Karnataka, India beBeeEngineer Full time ₹ 12,00,000 - ₹ 15,00,000

Agentic AI Engineer Job Opportunity

We are seeking an experienced Agentic AI engineer to design, develop and deploy next-generation intelligent agent solutions. The ideal candidate will have strong expertise in Python, LLMs, Agentic AI frameworks and AWS cloud infrastructure.

Key Responsibilities
  • Design and Development: Design, develop and deploy Agentic AI solutions using frameworks such as Microsoft Autogen, CrewAI or LangGraph.
  • Pipeline Creation: Build pipelines and workflows for LLM-based agent orchestration.
  • Integration: Integrate third-party APIs, tools and services to enable autonomous agent behavior.
  • Deployment and Management: Deploy, manage and scale AI-driven solutions on AWS (Lambda, S3, EC2, SageMaker, API Gateway etc.).
  • Collaboration: Collaborate with ML engineers, data scientists and product teams to build production-ready solutions.
  • Optimization: Optimize agents for robustness, efficiency and performance.
  • Code Review: Conduct code reviews and maintain high standards in Python development practices.
Required Skills & Qualifications
  • Python Expertise: Strong proficiency in Python with clean, modular and asynchronous programming experience.
  • AWS Experience: Hands-on experience with AWS services (S3, EC2, Lambda, API Gateway, SageMaker).
  • Agentic AI Frameworks: Practical expertise in at least one Agentic AI framework: Microsoft Autogen, CrewAI or LangGraph.
  • LLMs Knowledge: Familiarity with LLMs (OpenAI, Claude, Mistral etc.) and prompt engineering techniques.
  • Multi-Agent Workflows: Experience in multi-agent workflows and agent state management.
  • AI Service Deployment: Exposure to FastAPI or Flask.
Good to Have (Preferred Skills)
  • Additional Knowledge: Knowledge of LangChain, RAG architectures and vector databases (Pinecone, FAISS, Weaviate).
  • CI/CD Pipelines: Experience with CI/CD pipelines (GitHub Actions, Jenkins).
  • Docker and Kubernetes: Containerization using Docker and orchestration with Kubernetes.
  • Reinforcement Learning: Understanding of Reinforcement Learning or agent-based simulation.
Education
  • Bachelor's or Master's Degree: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science or related fields.

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