Forward Deployed AI Engineer

Job not on LinkedIn

🔥 20 hours ago

🇷🇴 Romania – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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accesa.eu

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

💼 Consulting

🏭 Manufacturing

🏥 Healthcare

Consulting • Manufacturing • Healthcare

Accesa is a leading technology company that has been a trusted IT partner since 2004. Specializing in custom software development, application modernization, cloud solutions, data analytics, AI, and cybersecurity, Accesa helps businesses across diverse industries including retail, manufacturing, and finance. The company is known for its customer-centric approach, providing tailored solutions that drive innovation and growth for its clients. With a focus on digital transformation, Accesa builds strong, flexible, and collaborative partnerships, ensuring high-quality service delivery and customer satisfaction. Their services span intelligent workplace solutions, business hyperautomation, and comprehensive managed operations, making Accesa a reliable choice for future-ready organizations.

📋 Description

• Assess project context and needs prior to AI rollout, identifying where AI practices, tools, or agentic solutions create measurable value • Translate project and business needs into actionable AI adoption opportunities and drive them from initial assessment through implementation and operationalization • Help delivery teams integrate AI practices into their existing SDLC across development, testing, QA, and operational workflows • Facilitate workshops, onboarding, and enablement sessions with engineers and project stakeholders • Implement or adapt reference solutions and accelerators • Provide post-rollout support and resolve adoption or technical issues • Measure adoption and collect feedback • Feed lessons learned back into the AI R&D function and the AI SDLC • Contribute reusable rollout playbooks, patterns, documentation, and guidance • Operate across PO, PM, engineering, QA, and operational concerns as required by the rollout context • Avoid becoming a permanent dependency for the project team

🎯 Requirements

• Strong software engineering fundamentals and software delivery lifecycle experience, including architecture, APIs, testing, delivery practices, maintainability, and production software • Ability to quickly understand unfamiliar systems and transfer principles across languages and stacks • Hands-on experience with AI-assisted software development (AI SDLC) • Proven ability to understand and extract business and engineering requirements • Consulting mindset, including stakeholder interviewing, challenging assumptions, and proposing pragmatic solutions • Hands-on experience with AI agents and agentic workflows • Experience with LLM APIs and model integration • Experience with CI/CD and modern software delivery practices • Practical understanding of evaluation and testing of AI systems • Strong software quality and engineering practices • Production support and troubleshooting experience • Awareness of security, privacy, and responsible AI considerations • Experience with observability and monitoring • Strong communication skills across technical and non-technical audiences • Comfort with frequent context switching • High ownership and autonomy • Ability to operate with ambiguity • Nice to have: LLM-based application development • Nice to have: Retrieval-Augmented Generation (RAG) • Nice to have: Tool/function calling and protocols such as MCP • Nice to have: API design and integration • Nice to have: Data pipelines and data management • Nice to have: Containers and cloud-native development • Nice to have: Experience with AI coding assistants and AI-enabled development workflows • Nice to have: Experience with Python, JavaScript/TypeScript, Java, .NET, or similar

🏖️ Benefits

• Medical benefits • Gym support • Personalised fitness options • Team events • Healthy Habits Club • Flexible work-life dynamic • Mental wellbeing support • Social wellbeing initiatives • Hybrid environment