Note: The job is a remote job and is open to candidates in USA. M-Files is redefining how work gets done with their context-first document management system. The AI Solutions Engineer will build and operationalize AI tools to improve workflows across various business functions, collaborating with leaders to identify opportunities for automation and efficiency.
Responsibilities
- Partner with functional leaders across Sales, Marketing, Revenue Operations, Customer Success, and other business functions to identify workflows where AI can remove friction, reduce cycle time, improve accuracy, or strengthen compliance
- Map the current-state process, identify bottlenecks and failure modes, and redesign the process to be automation-ready by clarifying inputs, outputs, decision points, data sources, controls, and ownership
- Define success metrics such as time saved, error reduction, throughput, adoption, and auditability, and translate business goals into a clear build plan
- Design and implement internal agents and agentic workflows using modern LLM patterns, including tool use/function calling, retrieval-augmented generation where needed, structured outputs, orchestration, and human-in-the-loop checkpoints
- Build whole-product solutions including lightweight UX, service/API layers, integrations, data access, automation triggers, and connections into business systems such as CRM, marketing automation, customer success platforms, and other internal applications as appropriate to the use case
- Integrate systems through APIs, authentication, structured data formats, and webhooks to enable agents to reliably read data and trigger actions
- Use AI-assisted development techniques to speed delivery while sustaining maintainability, readability, and quality
- Own reliability, including monitoring, alerting, logging, incident response, and continuous improvement
- Establish repeatable patterns for onboarding new workflows and scaling existing ones through templates, shared components, evaluation harnesses, and documentation
- Create and maintain runbooks and lightweight training so internal teams can confidently adopt and use solutions
- Implement appropriate guardrails including data minimization, access controls, secrets management, safe prompt and tooling patterns, output validation, and traceability
- Ensure solutions meet internal security and compliance expectations, including audit readiness, change management discipline, clear ownership, and relevant data privacy and consent requirements
- Maintain clear documentation of how systems work, what data they access, and how associated risks are mitigated
- Coordinate across Business Technology, IT/Security, Legal/Privacy, and functional subject matter experts to design, approve, deploy, and drive adoption of AI-enabled solutions across the business
- Communicate progress through clear, concise updates and manage tradeoffs between speed and rigor
Skills
- Demonstrated ability to build and maintain end-to-end software from design through build, deployment, and ongoing operation, with strong engineering fundamentals
- Proficiency in at least one modern programming language such as Python, TypeScript, C#, or Node.js, with comfort learning additional technologies as needed
- Practical experience integrating systems via APIs, authentication, and structured data formats
- Strong ability to work with non-technical stakeholders, translate ambiguous problems into clear specifications, iterate quickly, and drive adoption
- Familiarity with one or more business functions such as Sales, Marketing, Revenue Operations, or Customer Success, and an interest in designing AI solutions that improve how those teams work
- Experience integrating business or GTM systems through APIs and webhooks, including CRM, marketing automation, sales engagement, customer success/support platforms, ERP, or similar enterprise applications
- Familiarity with how GTM workflows and data operate across areas such as leads, accounts, opportunities, activities, customer engagement, and support processes
- Comfort working with marketing, sales, and customer data, including considerations around data quality, enrichment, privacy, and consent
- Experience building cloud-based services and applying strong engineering practices such as CI/CD, source control, test automation, and operational monitoring
- Comfort with secure and scalable platform concepts including networking, identity, secrets management, and infrastructure automation
- Experience or strong interest in AI-assisted development as part of daily engineering practice
- Hands-on experience building LLM-powered tools and agents, including prompting, tool use/function calling, retrieval where appropriate, agent orchestration frameworks, and evaluation/quality approaches
- Ability to design safe and predictable AI systems through validation, fallbacks, human-in-the-loop approaches, and clear failure handling
- Familiarity with enterprise security and compliance expectations, including access controls, audit trails, change management, and data governance
- Experience modernizing processes with a Lean or operational-improvement mindset and designing systems that align with how teams actually work
- Experience building internal tools that drive adoption across multiple business or GTM functions
Benefits
- As remote enabled company our employees enjoy the flexibility to establish their own life/work balance
- Matching 401K Plan (25% of employee's contribution up to the IRS max)
- Health insurance (PPO and HDHP/HSA plans offered)
- Dental insurance
- Vision insurance
- Life insurance (1x employee salary)
- Short-term disability (employer paid)
- Long-term disability (employer paid)
- Flexible Spending Plan (medical and dependent)
Company Overview
Company H1B Sponsorship