ResponsibilitiesDesplácese hacia abajo para ver todos los requisitos del puesto y las responsabilidades que pueden esperar los candidatos seleccionados.The team works on designing, building, and delivering enterprise AI solutions used by multiple departments across the company.Key tasks include:Designing AI architectures and workflows before implementation, including defining trigger points, process flows, and system interactionsBuilding AI-driven solutions such as automated workflows, AI agents, and LLM-based applicationsImplementing AI pipelines and integrations using tools such as LLM APIs, Python-based logic, and orchestration platformsDeveloping systems that combine different data sources (e.g., files, databases, or enterprise systems) and automate business processesIdentifying potential risks such as security concerns, failure scenarios, and the need for human-in-the-loop reviewContinuously improving AI workflows by selecting the most appropriate technologies and development approachesDelivering solutions incrementally in smaller phases so business teams can start using them quickly and provide feedbackSkills RequiredSolid full-stack or backend development background with advanced Python skills, including concurrency, async patterns, and performance-aware designFamiliarity with cloud platforms (AWS, Azure, GCP) and modern DevOps tooling including Docker, Kubernetes, and CI/CD pipelines3–7+ years of hands-on experience in software, AI, or ML engineering with a track record of shipping production-grade systemsPractical experience working with Large Language Models (LLMs), including navigating API cost trade-offs and managing unpredictable model behaviours in productionExperience enforcing structured LLM outputs and building reliable pipelines using orchestration frameworks such as LangChain or LangGraphClear,



confident communicator able to translate complex AI concepts for both technical peers and non-technical stakeholdersStrong grasp of Generative AI fundamentals and how they differ from conventional software development, particularly when solving open-ended or creative problemsProficiency in prompt engineering techniques including multi-shot prompting, persona and tone setting, and structuring effective context and constraintProven ability to lead technical workstreams, mentor junior engineers, and translate ambiguous business needs into well-scoped engineering solutionsNice to haveDemonstrated ability to optimize AI workflows through systematic benchmarking, bottleneck analysis, and decomposing complex LLM call chains into efficient, maintainable componentsPractical judgment on when agentic architectures are appropriate including an honest assessment of their complexity, failure modes, and operational overheadExpertise in Retrieval-Augmented Generation (RAG): grounding model responses in authoritative knowledge bases and surfacing cited, verifiable claimsSkilled in implementing input/output guardrails to defend against prompt injection, hallucinations, and harmful or policy-violating contentEngagement ModelThis is an independent contractor opportunity based on a direct contractual relationship between Zoolatech and the individual service provider.To facilitate this direct partnership, we engage with professionals who are registered and operate as a sole proprietorship, private entrepreneur, or an equivalent self-employment status in your country.Please note, our model does not accommodate contracts through third-party intermediaries such as agencies, incubators, or umbrella companies. The essential requirement is your ability to enter into a service agreement and invoice Zoolatech directly. xcskxlj This is not an offer of direct employmentPlease note that only candidates whose profiles closely match our requirements will be contacted.#J-18808-Ljbffr

📌 Senior Software/AI engineer (Málaga)
🏢 Talent
📍 Málaga