AI Engineer

November 12

Apply Now

Receive Emails with Similar Jobs

Alcumus

WebsiteLinkedInAll Job Openings

Compliance • Software • Enterprise

Alcumus is a technology-driven company specializing in compliance and risk management solutions. They provide software and services that help organizations maintain health and safety standards, manage risk, and stay compliant with regulations. With a focus on improving operational efficiency and workforce safety, Alcumus serves businesses across various sectors, providing them with the tools needed to thrive in a regulatory environment.

1001 - 5000 employees

📋 Compliance

🏢 Enterprise

💰 Private Equity Round on 2022-05

📋 Description

• Participate as an integral member of a cross functional full-stack team using agile methodologies • Work in an Agile based SDLC that embraces the principles of transparency, cooperation, decomposing work, and rapid iteration • Design and develop AI agents capable of reasoning, planning, and taking multi-step actions to support user journeys/workflows • Build and extend MCP servers/clients for structured, interoperable AI integrations • Integrate models with application APIs, databases, and 3rd party tools • Ability to break complex features into manageable, reviewable, shippable pieces • Ability to communicate clearly with engineers about implementation choices, design considerations, performance impacts, and testability. • Ability to communicate with non-engineers about how technology is solving business needs. Including demonstrating features for feedback. • Ability to methodically debug problems to resolve issues at the root • Constructively and attentively review pull requests and have his or hers reviewed • Produce code that adheres to coding standards of consistency, readability, testability, security, and maintainability. • Write meaningful, efficient tests for important parts of an application

🎯 Requirements

• 3 to 5+ years of development experience (C#, Python, TypeScript, Go, or similar) • Hands-on experience building LLM-based agents or orchestrators • Familiarity with MCP concepts: context servers, standardization tool integration, and protocol-base communication. • Strong understanding of APIs, distributed systems, and cloud native architectures. • Experience with prompt engineering, embeddings, and retrieval-augmented generation (RAG). • Familiarity with containerization technologies, such as Docker, Kubernetes, Racher, etc. • Knowledge of tools of contemporary engineering, specially: project boards (JIRA), source control (i.e. GitHub, Bitbucket), package managers, build systems, etc. • Experience with, or the disposition to embrace, the usage of AI assisted coding practices

🏖️ Benefits

• Integrated mental health & wellbeing support • Vacation – starting at 3 weeks • Wellness Days & Annual Giving Day – an extra to give back to yourself or your community • Comprehensive medical and dental coverage • End of the year, company-wide shut down for you to relax and recharge • LinkedIn Learning License for upskilling & development