Technical AI Consultant

We are seeking a Technical AI Consultant who excels at the intersection of hands-on engineering, customer engagement, and rapid AI solution delivery. Join our team to help clients integrate AI into their operations, achieve measurable business outcomes, and shape the future of AI-powered solutions. This role suits those who value diverse daily tasks, real-world impact, insight into customer challenges and product evolution, and the opportunity to influence both individual customer success and the broader future of the AI platform.

Success Criteria Success is determined by outcomes achieved during engagements, not only by completed deliverables: Clients realize measurable benefits from the AI/Run platform and framework Customers continue using the platform and request further AI integration opportunities Problems are identified and resolved before they affect customer success or platform adoption Objectives for AI-enabled SDLC integration and business operations are met or surpassed Customers consider AI/Run essential to their operations and seek to expand usage across their organization Responsibilities Build AI solutions on the AI/Run CodeMie platform using Python, React, Langchain, Langgraph, and MCP Deliver measurable business outcomes and customer success goals, not just outputs; identify and resolve issues early to ensure clients gain value from the AI/Run platform and expand AI adoption in SDLC and operations Integrate with customer teams onsite or remotely, understand their domain processes, and iterate on solutions that provide business value Address platform issues for clients by solving problems and shipping necessary functionality through personal effort or collaboration with the platform core team; take ownership and deliver results Contribute code and feedback to core product teams; identify gaps, propose features, and implement improvements across the platform Manage end-to-end technical projects from discovery and prototyping to validation, deployment, and ongoing support Ensure engagement and opportunity success by addressing issues from teams or clients, focusing on defined goals in AI-enabled SDLC; measure success by goal achievement, client value realization, continued adoption, and requests for further AI integration Serve as technical advisors for customers, remove blockers, and guide best practices for integration and AI adoption Support sales and go-to-market teams to scope, close, and ramp new customer deals by applying technical expertise and driving results Requirements Knowledge of Python and modern React with the ability to resolve platform issues independently AI-first engineering mindset with a focus on problem-solving and solution design Familiarity with LLM-based solutions, prompt engineering, and frameworks such as Langchain and Langgraph Capability to map customer needs, define and validate solutions with user feedback, and iterate quickly in ambiguous environments Outcomes-focused mindset with a record of measuring success by customer value delivered and platform adoption growth Proactive approach to problem-solving, identifying and resolving issues before escalation, and seeking opportunities to improve customer experience and platform value Excellent communication skills for distilling technical solutions to diverse audiences and facilitating workshops and demos remotely and in-person Ownership of delivery cycles, prioritizing high-impact work, and driving value to completion Team collaboration skills for working with customer and internal product teams, contributing code, product ideas, and field insights Experience with MCP development, integration, and security best practices