Engineering Manager

Xtillion•San Juan, PR

23d

About The Position

Are you ready to join a fast-moving team building real-world AI Solutions ? Xtillion is an AI solutions firm t hat helps enterprises build, operationalize, and scale high-value AI tools s y s t e m s . We do end-to-end AI engineering —from design to measurable business outcomes, bringing together deep data expertise and a clear focus on delivering results. Based in San Juan , Xtillion is growing quickly across U.S. industries. We’re committed to developing exceptional talent and offering meaningful opportunities to work on cutting-edge data and AI projects that drive real impact. As an Engineering Manager, you will work closely with a talented team of engineers, data scientists, and product managers to develop and maintain high-quality data solutions for our clients. In this role, you will leverage your problem-solving abilities to address client challenges, work directly with clients to understand their needs and lead client-facing projects to deliver impactful data solutions. Additionally, you will be challenged to continuously learn and stay updated with emerging technologies, applying them to enhance the efficiency and functionality of our solution s.

Requirements

6+ years of full-stack software engineering experience including architecture and solutioning, in a client-facing or consulting environment.
Proven ability to lead client projects, build strong relationships, and deliver results aligned with client goals.
Fully bilingual in English and Spanish with excellent communication skills to effectively collaborate with clients and team members.
Proactive, positive attitude, well-organized, and adept at managing competing deadlines and priorities.
Highly motivated, strong desire to learn and grow with the company, and possess a positive, energetic attitude.
Comfortable in a fast-paced and changing environment, wanting to learn new skills.
Excellent problem-solving skills and the ability to work independently and as part of a team.
A passion for learning and staying updated with the latest technologies and industry trends.
Proven expertise in building and maintaining complex ETL pipelines.
Experience in with RAG, agentic workflows, fine tuning, or other LLM-based
Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
Proficient in working with SQL DBMS systems (e.g., SQL Server, Oracle, Redshift, Teradata).
Experience with version control systems (e.g., GitHub) and CI/CD processes.
Knowledge of code orchestration tools (e.g., AWS Step Functions, Apache Airflow).
Strong understanding of development processes and agile methodologies

Responsibilities

Solve client challenges by analyzing their business problems and developing tailored data solutions.
Lead client-facing projects, ensuring effective communication, on-time delivery, and alignment with client expectations.
Work with a cross-functional team of business analysts, architects, engineers, data analysts, and data scientists to formulate business and technical requirements.
Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI products that solve real business problems.
Lead the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, Recommendation Systems, etc.