Applied AI Research Engineer

Location: Employees can work remotely, ro, Remote

Company Description

Company Description 
Accesa is a leading technology company headquartered in Cluj-Napoca, with offices in Oradea and 20 years of experience in turning business challenges into opportunities and growth.

A value-driven organisation, it has established itself as a partner of choice for major brands in Retail, Manufacturing, Finance, and Banking. It covers the complete digital evolution journey of its customers, from ideation and requirements setup to software development and managed services solutions.

With more than 1,200 IT professionals, Accesa also has a fast-growing footprint, establishing itself as an employer of choice for IT professionals who are passionate about problem-solving through technology. Coming together in strong tech teams with a customer-centric approach, they enable businesses to grow, delivering value for our clients, partners, industry, and community.

Job Description

The Applied AI Research Engineer joins our internal applied R&D team, whose mission is to define how AI changes the way software is designed, developed, tested, deployed, and operated across the organization. Rather than academic research or model training, the role centers on hands-on experimentation with emerging AI technologies - agents, LLM integration, evaluation techniques, AI-assisted development - and converting those learnings into the practical engineering standards (the AI SDLC) adopted by our delivery teams.

Responsibilities

• 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 fluidly between research, prototyping, engineering, architecture discussions, consulting, and organizational enablement
• Collaborate with the delivery-facing AI rollout function in a continuous feedback loop, incorporating recurring challenges and patterns discovered in real project adoption

Qualifications

Must Have

• 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: comfortable operating where established answers do not yet exist, creating structure from ambiguity
• Critical thinking; systems thinking; strong written and verbal communication; pragmatism balancing experimentation with production realities

Nice to Have

• 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 (specific languages are not a primary selection criterion)

As a people-first organisation, we believe diversity strengthens our teams and drives innovation. All employment decisions are based on merit, skills, and performance, without discriminating based on any personal characteristic. This reinforces our commitment to providing an inclusive and respectful workplace.

Additional Information

At Accesa you can

Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing, covering social, physical, emotional wellbeing, as well as work-life fusion.

• Physical Wellbeing: Our wellbeing program includes medical benefits, gym support, and personalised fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club.
• Work-Life Fusion: In very dynamic industries such as IT, the line between our professional and personal lives can quickly become blurred. Having a one-size-fits-one approach gives us the flexibility to define the work-life dynamic that works for us.
• Emotional Wellbeing: We believe that to maintain our overall health, we need to invest in our mental wellbeing just as much as we do in our physical health, social connections or in achieving work-life balance.
• Social Wellbeing: As a growing community in a hybrid environment, we want to ensure we remain connected not just by the great work we do every day but through our passions and interests.