
Agentic AI Development Expert
7 days ago
We are seeking an experienced expert in designing, developing, and deploying intelligent agent solutions.
The ideal candidate will have strong expertise in Python, LLMs, Agentic AI frameworks, and cloud infrastructure, with the ability to build scalable multi-agent workflows and optimize autonomous systems for performance and reliability.
- Design, develop, and deploy Agentic AI solutions using frameworks such as Microsoft Autogen, CrewAI, or LangGraph.
- Build 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).
- 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 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) and prompt engineering techniques.
- Experience in multi-agent workflows and agent state management.
- Exposure to FastAPI or Flask for AI service deployment.
Good to Have (Preferred Skills):
- 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.
Education:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
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