
Agentic AI Solutions Architect
2 days ago
Our team is seeking an experienced Agentic AI/GenAI engineer to design, develop, and deploy scalable intelligent agent solutions using cutting-edge frameworks like Microsoft Autogen, CrewAI, and LangGraph.
Key Responsibilities:
- Design, develop, and deploy next-generation Agentic AI solutions utilizing Python and AWS cloud infrastructure.
- Build pipelines and workflows for Large Language Model (LLM)-based agent orchestration.
- Integrate third-party APIs, tools, and services to enable autonomous agent behavior.
- Deploy, manage, and scale AI-driven solutions on Amazon Web Services (AWS).
- Collaborate with cross-functional teams to build production-ready solutions.
- Optimize agents for robustness, efficiency, and performance.
- Strong proficiency in Python with experience in 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 (OpenAI, Claude, Mistral) and prompt engineering techniques.
- Experience in multi-agent workflows and agent state management.
- Knowledge of LangChain, RAG architectures, and vector databases.
- Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines.
- Containerization using Docker and orchestration with Kubernetes.
- Understanding of Reinforcement Learning or agent-based simulation.
What We Offer:
A dynamic work environment, opportunities for growth and professional development, and a competitive compensation package.
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