
AI Systems Developer
2 days ago
About the Role
">The ideal candidate will have a strong background in software engineering and AI, with experience in designing and deploying AI Agents, LLM-based systems, or reinforcement learning models.
">Responsibilities
">- ">
- Leverage LLMs, reinforcement learning, and other AI techniques to lead the design, development, and optimization of AI Agents.">
- Architect and implement robust, scalable, and high-performance AI-driven software solutions.">
- Develop APIs, frameworks, and tools to support AI Agent development and deployment.">
- Collaborate with product managers, data scientists, and engineers to define AI-driven features and solutions.">
- Optimize AI models for real-world deployment, ensuring efficiency, accuracy, and low latency.">
- Stay updated with the latest advancements in AI and machine learning, incorporating best practices into the development lifecycle.">
- Mentor and guide junior engineers in AI technologies and best practices.">
- Ensure compliance with ethical AI guidelines, data security, and privacy standards.">
Requirements
">- ">
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.">
- 8+ years of experience in software engineering with a focus on AI and machine learning.">
- Proven experience in designing and deploying AI Agents, LLM-based systems, or reinforcement learning models.">
- Strong programming skills in Python, Java, or C++.">
- Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or OpenAI APIs.">
- Expertise in cloud platforms (AWS, GCP, or Azure) and distributed computing.">
- Strong knowledge of data structures, algorithms, and software architecture.">
- Experience with MLOps, model optimization, and deployment in production environments.">
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.">
Nice to Have
">- ">
- Experience with multi-agent systems, conversational AI, or autonomous decision-making AI.">
- Familiarity with knowledge graphs, semantic search, or vector databases.">
- Contributions to AI research, open-source projects, or publications in AI conferences.">
- Experience leading cross-functional teams and driving AI projects from conception to deployment.">
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