Role Description As an Agentic AI Developer, you will be responsible for designing and developing advanced agentic AI solutions capable of autonomous planning, reasoning, and task execution. Your work will include: - Developing and integrating Retrieval-Augmented Generation (RAG) pipelines to enhance agents' reasoning capabilities with external knowledge sources. - Implementing multi-agent communication protocols to enable seamless collaboration and coordination among agents. - Collaborating cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver robust, end-to-end AI solutions. Qualifications - Proven experience in developing and deploying Agentic AI systems solutions, preferably in financial services. - Strong experience with prompt engineering and LLMs, like LLaMA, OpenAI, Bedrock, etc. - Hands-on experience with RAG (Retrieval-Augmented Generation) architecture. - Experience designing solutions using agentic frameworks like LangChain, CrewAI, Semantic Kernel, and AutoGen. - Experience in implementing AI Agent design patterns. - Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems, Agents based on MCP. - Proficiency in software development languages such as Python, Java, C#, etc. - Work experience with cloud-based services and designing/building on the cloud, especially Azure. - Knowledge of governance, security, and compliance in designing and developing Agentic solutions. - Experience with DevOps tools and CI/CD pipelines in cloud environments. Benefits - Immediate permanent contract. - All necessary training to be successful as an Agentic AI Developer. - 26 days of holiday pay. - A non-contributory pension plan. - Work from anywhere on a device of your choice with a connectivity allowance. - A fast laptop and a SIM card for personal use. - Lease car or NS business card, or travel expense reimbursement. - Competitive salary, discussed during the hiring process. Company Description Working at Capgemini means: - Good onboarding and structured, transparent growth paths. - Opportunities to pioneer and choose your own path. - Boundless trust and collegial support. - Working in the international heart of innovation. - Focus on sustainability, diversity, and inclusion.

About the role We are looking for a Senior Agentic AI Engineer to join our team. You will be at the forefront of designing, developing, and deploying agentic LLM workflows that leverage cutting-edge AI techniques to streamline contract workflows, with a strong focus on the legal domain. This is a unique opportunity to apply your expertise in AI and software engineering to solve complex, real-world challenges in a high-impact setting. What you'll do Responsibilities: - Design and implement robust agentic LLM workflows for production. - Integrate AI solutions with existing SaaS platforms, internal APIs, and legal workflow systems. - Evaluate third-party models, frameworks, and services to determine their suitability and integration potential. - Collaborate with cross-functional teams to gather requirements, understand user needs, and deliver high-impact agent solutions. - Build tooling and observability to monitor, test, and evaluate AI agent performance. - Conduct code reviews and maintain best practices in documentation and version control. - Diagnose and resolve issues in AI systems to ensure accuracy, reliability, performance, and scalability. Qualifications Mandatory Qualifications: - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - 3+ years of experience in developing agent products or similar AI applications. - Strong proficiency in Python. - Strong understanding of LLMs, retrieval (RAG), and agent orchestration. - Experience with AI frameworks and agent development tools (e.g., LangGraph, CrewAI, MCP). Important Soft Skills: - Solid problem-solving skills and meticulous attention to detail. - Effective communication and collaboration skills in a global environment. - Flexibility of collaborating with engineers in Tokyo time zone Preferred Qualifications: - PhD. in a relevant technical field. - Experience with cloud platforms such as AWS, Google Cloud, or Azure. - Knowledge of NLP techniques, RAG systems, and prompt engineering. - Contributions to open-source projects or publications in AI research. - Experience deploying and maintaining AI models in production environments. - Strong communication skills, with the ability to communicate effectively across diverse cultures in both English and Japanese. What You’ll Get: Join our collaborative, high-performance culture driven by curiosity and continuous improvement. You'll work alongside passionate professionals in an environment that fosters innovation and creative problem-solving. Together, we tackle complex challenges in legal automation, leveraging AI to transform the industry. Miscellaneous: - Full-time position - This role is open to remote candidates - Flexible work arrangements: for applicants in the Bay Area we offer a hybrid work model with an office in the heart of San Francisco. For others, we embrace a remote working environment - Competitive compensation and stock options - Robust benefits: comprehensive health, dental, and vision insurance, generous PTO, plus a 401K plan

Role Description As the Lead ML/AI Engineer, you will be the technical heart of our post-sales delivery organization. You will be a hands-on, player-coach responsible for leading the team that brings our AI solutions to life for our customers. This role is perfect for a seasoned MLOps expert with a passion for automation, quality, and leadership, who thrives on solving complex technical challenges and ensuring customer success. - Lead the Technical Delivery Team: Lead, mentor, and provide technical guidance to a team of ML/AI Engineers and AI Infrastructure Specialists. You will be the ultimate owner of the technical quality, reliability, and performance of all deployed solutions. - Design and Implement MLOps Pipelines: Architect, design, and implement robust and automated CI/CD pipelines specifically for AI/ML models and applications. - Oversee Production AI Systems: Take charge of the operational strategy for our clients' AI environments, including monitoring, scaling, maintenance, and security of production AI systems. - Manage Project Delivery and Issues: Concurrently manage the technical execution of multiple customer-facing project delivery activities and resolve issues impacting project timeline, cost, scope, or effectiveness. - Drive Stakeholder Communication: Lead the presentation of project delivery status, performance metrics, and technical issue resolution plans to both internal and external audiences. Qualifications - 7+ years of experience in software engineering, DevOps, or ML engineering, with at least 2 years in a technical leadership, mentorship, or lead engineer capacity. - Deep, hands-on experience building and managing CI/CD pipelines (e.g., Jenkins, GitLab CI, Actions) and infrastructure-as-code (e.g., Ansible, Terraform, Puppet). - Strong, production-level experience with containerization (Docker) and container orchestration (Kubernetes). - Proficiency with monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK Stack). - Excellent problem-solving and troubleshooting skills, especially in complex, distributed systems. Requirements - Specific experience with MLOps platforms and tools (e.g., Kubeflow, MLflow, Seldon Core). - Hands-on experience with the NVIDIA AI Enterprise stack, particularly Triton Inference Server, TensorRT-LLM, and NeMo. - Experience in a customer-facing professional services or consulting role. - Strong scripting and programming skills, particularly in Python or Go. - Experience with deploying and managing infrastructure in both public cloud (AWS, Azure, GCP) and on-premises data center environments. Location This is a remote position in the United States. Travel Flexible (with travel to client sites and Penguin Solutions offices as needed). Compensation & Benefits - The base pay range that the Company reasonably expects to pay for this position in the United States is $175,000 - $215,000. - The position is bonus-eligible. - Medical, dental, and vision benefits available. - 401k saving plan. - Other benefits, such as Paid Time Off, Life Insurance, and an Employee Assistance Plan. Inclusion & Belonging Statement We are committed to creating an inclusive environment that embraces differences and fosters belonging for all. Equal Opportunity Statement We are an Affirmative Action/Equal Opportunity Employer and strongly committed to all policies which will afford equal opportunity employment to all qualified persons without regard to age, national origin, race, ethnicity, creed, gender, disability, veteran status, or any other characteristic protected by law.

Role Description Peer Mentors support people with developmental disabilities to live, work and belong in their communities. - Help people to be independent - Learn problem-solving and self-advocacy skills - Build self-esteem and self-confidence - Set goals and make action plans - Prepare for their Person-Centered Planning (PCP) meetings and provide support at the meeting, if asked - Connect to resources for public benefits, health and wellness, housing, employment, transportation, training and education, advocacy, and recreation Peer Mentors are expected to: - Share their personal life experiences about reaching goals - Share how they used services and supports to reach their goals - Share how they became more self-directed and self-empowered - Build positive, trusting relationships - Make a safe, understanding space for people to talk about their problems and challenges Qualifications - 18 years old - Have an intellectual/developmental disability (IDD) - Willingness to share personal experiences to guide and support others - Experience receiving disability-related supports and services - Understand and explain individual rights - Obtain certification as a Peer Mentor by attending Peer Mentor 101 training and successfully complete a 90-hour internship - Ability to work in-person and virtually - Ability to use phone, email, computer, and virtual technology - Preferred experience: - Lives or has lived independently (with or without support, not in your family home) - Has or has had a job in the community - Is actively involved in your community Requirements - Ability to be excited, honest, and upbeat with people - Ability to listen closely and work to find solutions to problems - Ability to support people to develop Self-Determination skills - Ability to find services and resources - Knowledge about local agencies - Ability to develop relationships with agencies Duties and Responsibilities - Peer Mentoring (70% of their work time): - Create good relationships with people they mentor - Get to know the people’s hopes and dreams - Develop a list of goals and action steps with people - Assist people in building their circle of support - Assist people to connect with community resources to meet their goals - Serve as an advocate with family members and friends to assist the people in having self-direction - Participate in the person-centered planning process, when invited - Spend time with people to support them to reach their goals - Medicaid reporting: log the date of your meetings, the length of time of your meetings, what you talked about, if it was in-person or virtual meeting, next steps with the action plan. This reporting may be done using a computer. - Ongoing Peer Mentor Training and Networking (15% of their work time): - Attend trainings in person or virtually to improve skills with mentoring, person-centered planning, independent facilitation, self-determination, community inclusion, employment, health and wellness, independent living, and transportation - Stay involved with the Peer Mentor group through monthly and quarterly virtual meetings and other scheduled meetings - Attend an in-person Peer Mentor retreat once a year - Present about Peer Mentoring and self-determination at conferences, trainings and other events, when asked - Provide group peer education on self-advocacy, self-determination, and rights - Agency Requirements (10% of their work time): - Attend agency new employee orientation and training - Complete all State, County, and agency training requirements - Follow all agency policies and procedures, including code of conduct and ethics - Educational Support (5% of their time): - Share information at meetings for people, staff, and funders about the role of a Peer Mentor and Peer Mentor services