Forward Deployed AI Engineer

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

📋 Description

• Evaluate the project context and requirements before the implementation of AI, pinpointing areas where AI methodologies, tools, or agentic solutions can provide quantifiable benefits.

• Convert project and business requirements into viable AI adoption opportunities and guide them from the initial assessment phase to implementation and operational integration.

• Assist delivery teams in embedding AI methodologies within their current software development lifecycle (SDLC) throughout development, testing, quality assurance, and operational processes.

• Conduct workshops, onboarding sessions, and enablement activities with engineers and project stakeholders.

• Execute or modify reference solutions and accelerators as needed.

• Offer support following rollout and address any adoption or technical challenges that arise.

• Evaluate adoption rates and gather feedback for continuous improvement.

• Relay insights and lessons learned back to the AI research and development function as well as the AI SDLC.

• Create reusable rollout playbooks, patterns, documentation, and guidance for future initiatives.

• Collaborate across product owners, project managers, engineering teams, quality assurance, and operational needs as dictated by the rollout context.

• Ensure that the project team does not become overly reliant on your support.

⛳️ Requirements

• Solid foundation in software engineering principles and experience with the software delivery lifecycle, encompassing architecture, APIs, testing, delivery practices, maintainability, and production software.

• Quick ability to grasp unfamiliar systems and apply principles across various programming languages and technology stacks.

• Practical experience with AI-assisted software development (AI SDLC).

• Demonstrated capability to comprehend and extract both business and engineering requirements.

• A consulting approach, including stakeholder interviews, questioning assumptions, and suggesting practical solutions.

• Hands-on experience with AI agents and agentic workflows.

• Familiarity with large language model (LLM) APIs and model integration techniques.

• Experience with continuous integration/continuous deployment (CI/CD) and contemporary software delivery practices.

• Practical knowledge of evaluating and testing AI systems.

• Strong commitment to software quality and engineering best practices.

• Experience in production support and troubleshooting.

• Understanding of security, privacy, and responsible AI considerations.

• Experience with observability and monitoring tools.

• Excellent communication abilities with both technical and non-technical audiences.

• Comfort with frequent changes in context.

• Demonstrated ownership and autonomy in project management.

• Ability to navigate ambiguity and uncertainty effectively.

• Nice to have: Experience in developing applications based on LLMs.

• Nice to have: Knowledge of Retrieval-Augmented Generation (RAG).

• Nice to have: Familiarity with tool/function calling and protocols such as MCP.

• Nice to have: Skills in API design and integration.

• Nice to have: Experience with data pipelines and management practices.

• Nice to have: Knowledge of containers and cloud-native development.

• Nice to have: Experience with AI coding assistants and AI-enhanced development workflows.

• Nice to have: Proficiency in Python, JavaScript/TypeScript, Java, .NET, or similar programming languages.

🏝️ Benefits

• Medical benefits.

• Support for gym memberships.

• Personalized fitness options available.

• Team-building events.

• Access to a Healthy Habits Club.

• Flexible work-life balance.

• Mental health and wellbeing support.

• Initiatives focused on social wellbeing.

• A hybrid working environment.