Urgent Job Opening- AI and Advanced Algorithms Engineer – REMOTE

Role: AI and Advanced Algorithms Engineer

Location: USA/Canada – REMOTE

Both Contract and Fulltime Available

Job description:
• Design, develop, and deploy sophisticated multi-agent AI systems with advanced reasoning requirements, leveraging state-of-the-art reasoning techniques such as Chain of Thought (CoT), Self-Consistency Decoding, and Reflexion to ensure robust and reliable decision-making.
• Implement and optimize tree-based algorithms, including depth-first and breadth-first traversal, rebalancing (e.g., AVL, Red-Black trees), and navigation over tree structures, to efficiently integrate AI outputs into production-ready solutions.
• Build and maintain a high-performance computer science infrastructure that utilizes AI results, employing Graph of Thoughts (GoT) to structure non-linear reasoning graphs for seamless integration into scalable, high-performance applications.
• Develop and sustain a robust computational framework that transforms AI-generated insights into actionable components, prioritizing performance efficiency and modularity for end-to-end product delivery.
• Collaborate with DevOps teams to implement scalable MLOps pipelines, versioning, and deployments using containerization technologies (e.g., Docker, Kubernetes) and workflow orchestration tools.
• Work closely with product, data science, engineering, and creative teams to define the technical vision and deliver innovative, impactful solutions.

Qualifications/Requirements
• Proficiency in Python programming.
• Extensive experience with development and deployment tools, including containerization (e.g., Docker, Kubernetes) and workflow orchestration (e.g., Temporal or similar).
• Hands-on expertise in applied AI engineering, with a focus on multi-agent systems incorporating advanced reasoning capabilities.
• Strong proficiency in advanced algorithms, particularly tree traversal, rebalancing, and navigation over tree structures.
• Demonstrated experience with prompt engineering to maximize the capabilities of large language models (LLMs).
• Proficiency with agentic workflow tools (e.g., Pydantic, LangGraph, or similar) to support reasoning frameworks like Graph of Thoughts.

Desired Qualifications
• Experience developing deep learning models using frameworks such as PyTorch or TensorFlow, with an emphasis on reasoning-intensive applications.
• Practical experience fine-tuning foundation models to enhance reasoning capabilities, including the integration of Self-Consistency Decoding.
• Familiarity with MLOps practices and tools (e.g., MLflow or similar) to streamline the deployment of reasoning-focused multi-agent systems.
• Experience with applying Graph of Thoughts for non-linear reasoning and iterative reasoning techniques, such as Reflexion to refine agent decision-making through self-evaluation and feedback mechanisms.
• Understanding of ReAct for dynamic decision-making.