Job Description
About the job
Description
Jobgether
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
One of our companies is currently looking for a Senior AI Engineer (Generative AI Focus) in Madrid.
As a Senior AI Engineer (Generative AI Focus), you will lead the design, development, and deployment of cutting-edge generative AI solutions. Your focus will be on fine-tuning large language models (LLMs), building intelligent automation workflows, and deploying AI-powered solutions that transform business processes. You will be involved in prototyping new AI capabilities, conducting AI audits, and integrating these solutions into existing systems, ensuring that AI technologies add tangible value to clients. This role requires a strong technical background in AI, with a particular emphasis on generative models and automation.
Accountabilities
- Conduct AI audits to identify potential use cases and provide technical recommendations that align with business goals.
- Fine-tune and optimize large language models (LLMs) such as GPT, LLaMA, and Mistral to meet specific client needs.
- Develop and deploy Retrieval-Augmented Generation (RAG) pipelines, chatbots, and conversational agents that enhance customer interactions.
- Automate complex workflows using RPA tools (e.g., Make, Zapier, UiPath) to improve operational efficiency.
- Integrate AI with business systems (ERP, CRM, APIs, databases), ensuring seamless data flow and enhanced functionality.
- Monitor the performance of deployed solutions and continuously optimize and improve them to meet evolving needs.
Requirements
- 5+ years of experience in software engineering, with at least 2 years in generative AI and a strong foundation in Python.
- Experience with LLMs (e.g., OpenAI, Mistral, Claude) and frameworks like Hugging Face, LangChain, PyTorch, and Transformers.
- Expertise in RPA platforms (e.g., Make, Zapier, Power Automate, UiPath).
- Proficient in API development and system integration (RESTful APIs, webhooks).
- Familiar with MLOps, cloud AI platforms (Azure, AWS, GCP), and containerization (Docker, Kubernetes).
- Knowledge of data security and compliance in AI solutions.
- Strong problem-solving skills, curiosity, and a proactive mindset with the ability to work both autonomously and collaboratively.
Benefits
- Work on cutting-edge generative AI solutions that drive real business impact.
- Join a dynamic, innovative team where youll shape the future of AI technologies.
- Professional growth and career development opportunities within the field of AI and automation.
- Access to flexible work arrangements with hybrid options.
- Opportunity to work on impactful AI transformation projects for a wide range of clients.
- Engage in a culture of continuous learning and stay ahead of the curve in AI advancements.
Jobgether hiring process disclaimer
This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.
Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.
Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.
- If you are among the top 5 candidates, you will be notified within 7 days.
- If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.
Thank you for your interest!