AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, test, deploy, and manage AI agents for clients using a blend of low-code and pro-code methodologies.

• Create customer-facing AI solutions throughout the entire ALM lifecycle, encompassing design, development, testing, deployment, and continuous improvement.

• Construct and integrate multi-model AI agents, selecting and coordinating models based on the specific use case, performance metrics, and cost considerations.

• Design and execute Retrieval-Augmented Generation (RAG) solutions, which involve document ingestion, vector databases, indexing strategies, and retrieval logic.

• Set up and integrate MCP servers and associated AI infrastructure components necessary for secure and scalable agent execution.

• Implement secure authentication and authorization protocols for AI agents, covering identity management, permissions, and service-to-service access.

• Collaborate with clients to grasp business needs and convert them into scalable AI agent designs.

• Employ best engineering practices, including version control, environment management, testing strategies, and deployment automation.

• Diagnose and enhance AI agents for improved performance, reliability, and accuracy.

• Work closely with security, data, and adoption teams to guarantee that AI solutions are safe, compliant, and in line with governance standards.

• Convert engineering efforts into customer enablement by designing and delivering technical training, workshops, labs, and demonstrations to assist business users in adopting the AI solutions you create.

• Conduct enablement sessions both virtually and on-site, tailoring depth and language to suit executive, technical, and frontline audiences.

• Document architectures, designs, and operational considerations as part of customer deliverables and enablement resources.

⛳️ Requirements

• Over 5 years of experience in software engineering, application development, or roles focused on AI/automation engineering.

• Practical experience in building AI agents or AI-driven applications utilizing both low-code and pro-code frameworks.

• Profound understanding of AI principles and architectures, including model inference, orchestration, and agent design patterns.

• Hands-on experience with MCP servers, agent runtimes, or comparable AI execution frameworks.

• Extensive experience in designing and implementing RAG architectures, including vector databases and retrieval pipelines.

• Familiarity with multi-model AI strategies, including the selection, integration, and management of multiple models within a single solution.

• Strong understanding of authentication, identity, and security controls in the design of applications and APIs.

• Experience applying ALM best practices such as source control, CI/CD, environment promotion, and testing.

• Ability to engage directly with clients in solution design and delivery projects.

• Excellent verbal communication and public speaking abilities, with the confidence to lead live workshops, demonstrations, and training sessions.

• Capability to convey complex or technical concepts into clear, practical learning experiences for non-technical audiences.

• Willingness to travel for work and perform on-site engagements as part of customer projects.

• Strong problem-solving skills and adaptability to rapidly changing technical environments.

🏝️ Benefits

• N/A