ml engineer for enterprise automation

The client develops next-generation autonomous AI agents for enterprise automation, focusing on independent decision-making and complex workflow execution in high-stakes environments.

• Build and optimize AI agents with multi-step reasoning capabilities for real-world applications;
• Implement reinforcement learning and tool-use architectures to enable agent autonomy;
• Integrate agents with external APIs, databases, and third-party services;
• Develop evaluation frameworks to measure agent performance, reliability, and safety;
• Collaborate with cross-functional teams to align agent behavior with business objectives.

• Experience building agentic AI systems using frameworks such as LangChain, AutoGen, or CrewAI;
• Proficiency in Python and familiarity with AI libraries such as Hugging Face Transformers or PyTorch;
• Knowledge of reinforcement learning, tool-use mechanisms, and multi-agent coordination;
• Strong problem-solving skills focused on scalable and maintainable AI solutions;
• Familiarity with cloud platforms such as AWS, GCP, or Azure for deploying agentic systems.

• $50 - $100/Hour;
• Contract employment;
• Work from anywhere.