
Advanced AI Solutions Architect
2 days ago
We are seeking an experienced AI engineer to lead the design, development, and deployment of cutting-edge intelligent agent solutions.
- Develop and implement Agentic AI solutions using frameworks such as Autogen, CrewAI, or LangGraph.
- Design pipelines and workflows for LLM-based agent orchestration.
- Integrate third-party APIs, tools, and services to enable autonomous agent behavior.
- Deploy, manage, and scale AI-driven solutions on AWS (Lambda, S3, EC2, SageMaker, API Gateway, etc.).
- Collaborate with ML Engineers, Data Scientists, and Product teams to build production-ready solutions.
- Optimize agents for robustness, efficiency, and performance.
- Strong proficiency in Python with clean, modular, asynchronous programming experience.
- 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, etc.) and prompt engineering techniques.
- Experience in multi-agent workflows and agent state management.
- Exposure to FastAPI or Flask for AI service deployment.
- Knowledge of LangChain, RAG architectures, and vector databases (Pinecone, FAISS, Weaviate).
- Experience with CI/CD pipelines (GitHub Actions, Jenkins).
- Containerization using Docker and orchestration with Kubernetes.
- Understanding of Reinforcement Learning or agent-based simulation.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
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