Applied AI Research Engineer

Job not on LinkedIn

🔥 23 hours ago

🇷🇴 Romania – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 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

• Explore emerging AI technologies and engineering patterns through hands-on experimentation and rapid prototyping • Formulate hypotheses, structure experiments, evaluate results against defined criteria, and convert findings into concrete engineering recommendations • Contribute to the definition and continuous evolution of the organization-wide AI SDLC • Critically assess AI technologies, model outputs, and industry trends • Define evaluation criteria and identify failure modes before recommending broader adoption • Produce clear documentation, reusable guidance, and recommendations for delivery teams and leadership • Move between research, prototyping, engineering, architecture discussions, consulting, and organizational enablement • Collaborate with the delivery-facing AI rollout function in a continuous feedback loop, incorporating challenges and patterns from real project adoption

🎯 Requirements

• Strong software engineering and architecture fundamentals: APIs, distributed systems, testing, delivery practices, and maintainability, transferable across languages and technology stacks • Hands-on experience with AI agents and agentic workflows • Experience with LLM APIs and model integration • Practical experience with evaluation and testing of AI systems • Awareness of security, privacy, and responsible AI considerations • Experience with CI/CD and software delivery practices • Experience with observability and monitoring • Strong R&D mindset and ability to create structure from ambiguity • Critical thinking and systems thinking • Strong written and verbal communication • Pragmatism balancing experimentation with production realities • LLM-based application development • Retrieval-Augmented Generation (RAG) • Tool/function calling and protocols such as MCP • API design and integration • Data pipelines and data management • Containers and cloud-native development • 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 in a hybrid environment