Top Remote Entry Level Jobs in Portland, ME

Design and optimize prompts, agent architectures, MCP tools, RAG workflows, and context-management strategies for reliable AI applications. Develop and integrate LLM-powered solutions with enterprise systems, APIs, healthcare data, and backend services. Establish evaluation and testing frameworks, improve response quality, and support deployment, monitoring, troubleshooting, security, compliance, governance, and responsible AI practices.

Lead end-to-end red-teaming campaigns against frontier AI models by defining threat models, designing attack scenarios and taxonomies, coordinating operators, and producing executive risk reports. Establish recurring testing cadences, track exploit families, measure severity and user harm, maintain dashboards, and partner with research, product, and operations teams to validate fixes and run regression tests.

Technical Architect role listed as a replacement position. The description provides no details about responsibilities, required technologies, qualifications, compensation, travel, or clearance requirements.

Lead a small AI engineering team while remaining hands-on in research and production software development. Build agentic capabilities for monitoring, guardrailing, evaluation, collaboration, and security. Perform exploratory data analysis, feature engineering, model fine-tuning, prototyping, and technical design. Translate AI research into scalable product features, set technical direction, mentor engineers, and deliver reliable production code.

Build production-ready agentic AI capabilities focused on monitoring, guardrails, evaluation, security, quality, and human-agent collaboration. Perform machine learning tasks including exploratory data analysis, feature engineering, and model fine-tuning. Translate research into scalable software, rapidly prototype features, collaborate cross-functionally, and explore emerging agentic technologies.

An 8-month Strategic Account Manager program preparing participants for dealer account management at GM Financial. Responsibilities include building dealer relationships, supporting automotive finance programs, analyzing dealer data, resolving credit and funding issues, identifying portfolio and compliance risks, and representing the GM Financial brand. The role requires travel, weekend availability during training, relocation after completion, and a valid driver's license.

Designs, automates, and improves the reliability, availability, and recoverability of on-premises, hybrid, and cloud technology platforms. Builds infrastructure-as-code, recovery workflows, self-healing systems, monitoring, and validation processes; defines resiliency objectives; conducts disaster recovery tests and chaos experiments; and facilitates architecture reviews and recovery exercises. Partners across engineering, infrastructure, cloud, application, and business teams while maintaining regulatory-ready documentation.

Pre-sales Sales Engineer partnering with prospective customers to evaluate CoLab’s AI-powered mechanical engineering collaboration platform. Responsibilities include tailored product demonstrations, workflow discovery, evaluation execution, ROI articulation, customer onboarding support, and collaboration with Sales, Product, Marketing, and Customer Success. The role requires mechanical engineering expertise, product development experience, CAD/PLM knowledge, strong communication skills, and frequent North American travel.

Manage high-volume partner sales deals from quote through signature, including pricing, discounts, proposals, order review, account activation, and follow-up. Support partner representatives selling AI-powered contact center and communications solutions, determine SPIF eligibility, and cover Channel Manager responsibilities when needed. The role requires strong organization, communication, relationship-building, B2B sales support, channel sales, account management, and familiarity with telecom, UCaaS, or CCaaS solutions.

Leads AI governance and assurance engagements, designing policies, controls, operating models, risk assessments, and compliance programs. Evaluates AI security, model governance, third-party solutions, and control effectiveness against frameworks including NIST AI RMF, ISO 42001, and the EU AI Act. Collaborates with security and engineering teams to test threats such as prompt injection, model manipulation, data poisoning, and leakage. Advises executives and clients, develops methodologies and proposals, researches emerging AI risks and regulations, and supports business development.

Leads the full lifecycle of shared platform, cloud, DevOps, CI/CD, and SRE capabilities. Owns platform roadmaps, infrastructure as code, release automation, quality gates, observability, reliability practices, incident processes, and developer experience improvements. Partners with Engineering, IT Operations, Security, and Quality in a regulated environment, leads platform engineers in India, evaluates AI-assisted tools, and serves as a hands-on technical leader.