Overview
Skills
Job Details
Remote Position 6+ month contract
We are seeking an AI Consultant with a strong background in application workflow and automation development using Python frameworks, experience in machine learning, and generative AI. The ideal candidate will have hands-on expertise in Agentic AI, leveraging Autogen or LangChain Framework to build autonomous AI agents for advanced problem-solving and workflow automation. This role demands deep knowledge of AI-driven automation, multi-agent collaboration, and real-world implementation of generative AI models.
Key Responsibilities:
- Design, develop, and deploy Agentic AI solutions using Autogen / Langchain Framework for business automation and intelligent workflows.
- Implement multi-agent AI systems that can perform complex tasks autonomously with self-learning capabilities.
- Develop automation pipelines integrating machine learning (ML) and generative AI models for process optimization.
- Fine-tune and deploy LLM-based AI agents for decision-making, conversation automation, and knowledge retrieval.
- Optimize reinforcement learning algorithms to enhance AI agent adaptability and performance.
- Collaborate with cross-functional teams including AI researchers, data scientists, and software engineers to enhance AI-driven automation.
- Ensure seamless integration of AI solutions with enterprise systems and cloud platforms.
- Monitor, test, and continuously improve AI agent performance through real-time feedback loops.
- Stay updated on cutting-edge AI advancements and contribute to innovation in Agentic AI applications.
- 6-8 years of experience in automation development with expertise in Python, AI frameworks, and system integration.
- 3 years of hands-on experience in machine learning, including model training, evaluation, and deployment.
- 2 years of experience working with Generative AI (GenAI), particularly in LLMs, NLP, and conversational AI.
- 6 months of active development using Autogen Framework for Agentic AI applications.
- Proficiency in AI/ML tools such as TensorFlow, PyTorch, Hugging Face, LangChain, Autogen, OpenAI API, and other GenAI frameworks.
- Expertise in multi-agent systems, AI-driven automation, and reinforcement learning techniques.
- Strong knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) for AI model deployment and orchestration.
- Experience in API development, microservices architecture, and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to work in an agile development environment.
- Strong communication skills to collaborate with technical and non-technical teams.
- Experience in developing autonomous AI agents for enterprise automation.
- Exposure to RLHF (Reinforcement Learning with Human Feedback).
- Contribution to open-source AI projects or research in Agentic AI.
Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.