About this role
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.
Because the role's output becomes engineering standards adopted across the organization, it calls for the judgment of an experienced engineer — typically 6+ years of production software delivery as a Senior Engineer or Tech Lead.
Responsibilities
Explore emerging AI technologies and engineering patterns through hands-on experimentation and rapid prototypingFormulate hypotheses, structure experiments, evaluate results against defined criteria, and convert findings into concrete engineering recommendationsContribute to the definition and continuous evolution of the organization-wide AI SDLCCritically assess AI technologies, model outputs, and industry trends; define evaluation criteria and identify failure modes before recommending broader adoptionProduce clear documentation, reusable guidance, and recommendations for delivery teams and leadershipMove fluidly between research, prototyping, engineering, architecture discussions, consulting, and organizational enablementCollaborate with the delivery-facing AI rollout function in a continuous feedback loop, incorporating recurring challenges and patterns discovered in real project adoption Must Have
Strong software engineering and architecture fundamentals as a Senior Engineer or Tech Lead: APIs, distributed systems, testing, delivery practices, and maintainability, transferable across languages and technology stacksHands-on experience with AI agents and agentic workflowsExperience with LLM APIs and model integrationPractical experience with evaluation and testing of AI systemsAwareness of security, privacy, and responsible AI considerationsExperience with CI/CD and software delivery practicesExperience with observability and monitoringStrong R&D mindset: comfortable operating where established answers do not yet exist, creating structure from ambiguityCritical thinking; systems thinking; strong written and verbal communication; pragmatism balancing experimentation with production realitiesNice to Have
LLM-based application developmentRetrieval-Augmented Generation (RAG)Tool/function calling and protocols such as MCPAPI design and integrationData pipelines and data managementContainers and cloud-native developmentExperience 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.
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.