Machine Learning Engineer (LLM / Agentic AI) (Remote) at PulseRise Technologies

Nàquera / Náquera, Valencian Community, Spain -

Full Time

Start Date

Immediate

Expiry Date

14 Aug, 26

Salary

0.0

Posted On

17 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Large Language Models, Agentic AI, Python, SQL, AWS, Natural Language Processing, MLOps, Vector Databases, RAG Systems, Feature Engineering, Technical Leadership, Client Management, Solution Design, Data Science, Advanced Analytics

Industry

Information Services

Description

Dear applicants, please keep in mind that applications without provided salary expectations and active LN profile will not be considered. Hope for your understanding. Senior Machine Learning Engineer (LLM / Agentic AI) Location: Remote (Multiple locations) Employment Type: Full-Time, remote About the Company Client delivers enterprise-grade Data and AI consulting solutions for mid-market and enterprise clients across multiple industries. The team partners with globally recognized clients to design and deploy production-grade AI systems with measurable business impact. About the Role We are hiring a Senior Machine Learning Engineer (LLM Engineer) to lead the design, implementation, and productionization of advanced ML and LLM-powered systems. This is not a research-only role. This is a client-facing, production-focused leadership role. You will: Architect and deploy LLM and agentic AI systems in production Lead ML solution design across customer engagements Mentor engineers and influence technical direction Ensure scalable, maintainable, enterprise-grade ML systems What You’ll Own Design and productionization of ML and LLM systems Development of NLP and LLM-based applications Agentic AI workflows and orchestration Feature engineering and advanced ML pipelines AWS-based ML infrastructure and deployments Technical leadership across customer engagements Mentorship of junior engineers Client-facing technical discussions and strategy Must-Have Requirements 7+ years of ML / AI / Data Science experience 5+ years AWS hands-on experience Deep expertise in machine learning and advanced analytics Strong experience with NLP and LLM technologies Mastery of Python and strong SQL proficiency Proven leadership in customer engagements Experience shipping ML systems to production Nice to Have Experience building agentic systems MLOps pipeline ownership Enterprise consulting experience Experience across multiple industries Exposure to vector databases and RAG systems

Responsibilities

Lead the design, implementation, and productionization of advanced ML and LLM-powered systems for enterprise clients. This role involves architecting agentic AI workflows and providing technical leadership and mentorship to junior engineers.