Artificial Intelligence Engineer

Who we areAt Datanoesis, we create integrated software and system solutions that connect technology, data, and people.We believe in a world where honesty, evolution, and confidence drive sustainable progress — both for businesses and for humanity.With 20+ years of experience in retail systems, automation, and customer experience, we are now entering a new era: building our AI-powered Customer Experience Platform — a solution designed to humanize technology and make it serve real human and planetary needs.About the RoleWe’re building an AI-powered Customer Experience Platform with a mission to empower humanity and drive sustainable business evolution.Our vision is to create a world where technology is a force for good, fostering harmony between humanity and the planet — bridging human needs with sustainable business practices.As an AI Engineer, you’ll design and implement agentic workflows that seamlessly blend data science, automation, and operational decision-making within a scalable enterprise platform.This pivotal role serves as the bridge between experimental ML prototypes and integrated real-world systems, leveraging low-code tools and orchestration frameworks to make AI operational, secure, and human-centric.Collaboration is at the heart of this role — you’ll work closely with Data Scientists, Product Managers, and Engineering teams to deliver modular, maintainable, and impactful agentic components that bring intelligence to every layer of the platform.Key ResponsibilitiesDesign and implement agent-based workflows using low-code orchestration tools or APIs.Translate ML prototypes and logic into deployable, real-world components.Collaborate with data scientists, backend engineers, and product managers to build operational AI features.Develop reusable modules for prompt orchestration, action execution and feedback collectionEnsure modularity, maintainability, and scalability of agentic components across hybrid environments.Contribute to evolving internal methodologies for AI engineering, tooling strategy and operationalization.Requirements3–5+ years of experience in software engineering or AI/ML systems development.Proficient in Python, including API integration, data handling, and workflow scriptingSolid understanding of ML model workflows, agent architecture and orchestration designExperience integrating or building agent-like systems that use LLMs or function-calling logicFamiliarity with prompt engineering, tool chaining, and LLM context managementStrong system design skills focused on real-time or event-driven workflowsAbility to collaborate in fast-paced environments with data science and engineering teamsNice to HaveExperience with low-code AI orchestration frameworks such as Flowise, LangChain or similar.Familiarity with LLM APIs (e.g., OpenAI, Anthropic) and model hosting platforms like Hugging Face.Exposure to vector databases, RAG pipelines, or agent architectures using embeddings.Background in deploying ML/AI systems in production environments with emphasis on privacy, security, or compliance.Why Join UsJoin a mission-driven team shaping the next generation of AI-powered customer experiences — where technology empowers, not replaces, humanity.We believe in shared success — for the right candidate, we offer the opportunity to grow with us through equity or phantom equity participation, reflecting long-term impact and commitment.At Datanoesis, you’ll find a culture rooted in honesty, evolution, and confidence, and a team that believes in building technology that truly matters.