• Advise on, build, integrate, and operate AI tooling for several departments within Harvey • Extend and govern AI workflows across the company • Own technical governance of internal AI tools • Own the MCP and connector roadmap for enterprise systems • Translate emerging AI capability into Harvey's internal roadmap • Run AI vendor security and privacy reviews • Build integration prototypes and reference architectures • Be the technical partner of choice for G&A teams

Role Description Cotiviti is seeking an experienced AI Engineer to design, build, and maintain a cutting-edge agentic framework and centralized AI platform that will serve as the backbone of our organization's AI initiatives. This role will be responsible for creating a unified interface that enables teams across the company to securely deploy, manage, and access AI agents while ensuring seamless data integration and platform reliability. The role will work closely with Data Scientists, MLOps engineers, Data Engineers, and Product Engineering teams. - Design and implement scalable agentic solutions for diverse use cases. - Leverage a broad stack of Open Source AI technologies to build and maintain a centralized AI platform with unified APIs for cross-functional team access and build various types of agents. - Work with Product Engineers to integrate AI agents into customer-facing applications and internal tools. - Lead technical discussions, mentor junior engineers, and help set the technical vision for the AI platform roadmap. - Ensure compliance with security, privacy, and regulatory requirements across the software development lifecycle. - Optimize performance of AI-powered workloads across compute and storage layers using cloud-native and open-source solutions. - Conduct performance analysis and capacity planning to ensure platform scalability. Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 8+ years of software engineering experience, including 2+ years working on AI/ML platforms or infrastructure. - Experience in building large-scale distributed systems and microservices. - Strong programming skills in Python. - Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar. - Experience with containerization and orchestration (e.g., Docker, Kubernetes). - Understanding of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks. - Cloud platform experience (AWS, GCP, or Azure).

Role Description We're looking for a Staff AI Engineer to lead the development and technical direction of an advanced AI-powered healthcare platform. This role is ideal for an experienced AI engineer who enjoys designing production-grade AI systems, building reliable multi-model architectures, and solving complex real-world problems. You'll own the AI strategy, establish best practices, and develop scalable systems that prioritize reliability, accuracy, and safety. We are always looking for enthusiastic, problem-solving personalities. Fluent English and exceptional teamwork skills are required for all of our positions. Please submit your resume or any documentation in English. We can't wait to meet you! Qualifications - Exceptional English communication skills, both written and verbal (C1 level Minimum). - Enthusiastic, positive attitude, eager to work with others and solve problems. - Proven experience developing production AI systems using LLMs, Retrieval-Augmented Generation (RAG), and modern AI frameworks. - Strong experience building and deploying machine learning systems beyond generative AI. - Demonstrated success designing orchestrated multi-model and agentic AI applications. - Experience creating AI evaluation frameworks, observability systems, and model guardrails. - Strong understanding of AI architecture, system design, and production engineering best practices. - Healthcare industry experience is preferred but not required. - Experience fine-tuning large language models is a plus. - Comfortable leveraging AI tools to improve productivity while maintaining strong engineering judgment. - Self-starter with excellent analytical, communication, and problem-solving skills. - Demonstrates ownership, accountability, precision, and the ability to thrive in a fast-paced startup environment. Requirements - Lead the design and development of production AI systems and technical architecture. - Build and optimize multi-model AI pipelines and Retrieval-Augmented Generation (RAG) workflows. - Establish technical direction for AI initiatives across the engineering organization. - Design and maintain AI evaluation frameworks, observability tools, and model safety guardrails. - Ensure AI solutions are reliable, scalable, and grounded in trustworthy data. - Evaluate emerging AI technologies and recommend practical implementations. - Collaborate with cross-functional teams to build high-quality AI-powered products. - Utilize AI tools to improve engineering efficiency while maintaining software quality. - Continuously improve AI performance, system architecture, and engineering processes. - Help establish long-term AI engineering standards and best practices across the organization. Benefits - Fully remote Position! Work from any place in the world! - Take your local Holidays: We understand how important it is to take time with your family and loved ones on important days. - Paid vacation. - Professional Growth: Opportunities for training and development in a fast-growing company. - Compensation: Competitive salary and performance-based incentives. Company Description At FullPond, we care about people. We're all about transforming the way businesses discover and collaborate with remote talent. We're passionate about connecting amazing people with great companies. We are always looking for people who are eager to roll up their sleeves, work hard, and create solutions to problems. This energy and attitude is what makes us unique. We believe in transforming lives through meaningful work and opportunities that reward your effort and dedication. Join us to grow professionally, collaborate with global teams, and make an impact—all while working for top-tier companies eager to value your skills and potential. How to apply We've replaced the résumé screen with something better: a short challenge that shows you how we think. Use the built-in AI tools, as we'd expect you to on any normal work day. What we're measuring is judgment, not polish. Finish strong and a human reaches out. It's not the right fit for everyone, and that's by design. Apply here: https://careers.metabody.ai/ - choose the AI door.

Role Description AI Engineer with demonstrated production-quality experience in: - Designing, building, and deploying AI/ML solutions in the Azure ecosystem, including Azure ML, Azure OpenAI, and Azure AI search - Python and SQL fluency in production environments - 5+ years delivering production-grade classical ML/AI - 1-2 years building LLM systems in production: - API integration, batch and/or streaming pipelines - Caching, cost management, rate limiting, and token tracking - RAG architectures - Tool use and agentic workflows (LangChain/LangGraph) - Designing and operating production APIs with authentication, authorization, logging, monitoring, and observability - Hands-on experience with vector databases and semantic search, e.g., Azure AI Search (indexing, skillsets, semantic search, filters, etc.) - Building Chatbot and assistant solutions: - API endpoints and session management - Secure authentication - Feedback loops and continuous improvement - nice to have - Context management strategies, memory, and session behavior - Collaborating with Data Engineers to source, prepare, and label datasets - Designing and implementing MLOps workflow: - Model/version control - CI/CD deployment - Monitoring and observability - Exposure to classical ML pipeline alongside GenAI systems Company Description