
Senior Intelligent Systems Developer
3 days ago
We are seeking a seasoned Artificial Intelligence Engineer to design, develop, and deploy next-generation intelligent agent solutions. Our ideal candidate will possess strong expertise in Python, large language models (LLMs), and artificial general intelligence (AGI) frameworks.
- The engineer will build scalable multi-agent workflows and optimize autonomous systems for performance and reliability.
Responsibilities
- Design, develop, and deploy AGI 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, etc.).
- Collaborate with machine learning 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.
Expertise
- Strong proficiency in Python with clean, modular, and asynchronous programming experience.
- Hands-on experience with AWS services (S3, EC2, Lambda, API Gateway, SageMaker).
- Practical expertise in at least one AGI framework:
- Microsoft Autogen
- CrewAI
- 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.
Additional Qualifications
- 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.
Degree Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
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