Xtillion is a fast-growing AI solutions firm helping organizations build, operationalize, and scale high-value AI systems. We deliver end-to-end solutions, from design to deployment in real-world environments, combining deep data expertise with a strong focus on measurable business impact. 

Based in San Juan, Puerto Rico, Xtillion partners with organizations across U.S. industries to solve complex, high-impact business problems. We invest in our people and offer opportunities to work on technically challenging, customer-facing systems that directly influence client success. 


About Xtillion 

Xtillion is a fast-growing AI solutions firm helping organizations build, operationalize, and scale high-value AI systems. We deliver end-to-end solutions, from design to deployment in real-world environments, combining deep data expertise with a strong focus on measurable business impact. 

Based in San Juan, Puerto Rico, Xtillion partners with organizations across U.S. industries to solve complex, high-impact business problems. We invest in our people and offer opportunities to work on technically challenging, customer-facing systems that directly influence client success. 

We're looking for an Engineering Manager to lead teams building and deploying AI-powered, production-grade software systems directly into customer environments. 

In this role, you'll operate at the intersection of technical leadership and client engagement. You'll be responsible for guiding engineers through ambiguous problem spaces, ensuring high-quality execution, and maintaining strong alignment between business objectives and technical solutions. 

This position is ideal for leaders who enjoy being hands-on when needed, working closely with clients, mentoring engineers, and owning the successful delivery of complex, real-world systems. 

## What You'll Do 

-   Lead and support teams of software and data engineers delivering AI-enabled systems in production 

-   Own the technical execution and delivery of client-facing projects, ensuring quality, reliability, and outcomes 

-   Collaborate with cross-functional teams to translate business needs into production-ready systems  

-   Guide system and solution design across infrastructure, backend services, data platforms, and AI workflows 

-   Provide technical mentorship and coaching to engineers through problem solving sessions, code reviews, design discussions, and regular feedback 

-   Balance short-term delivery needs with long-term system maintainability and scalability 

-   Stay current with emerging AI and software technologies and apply them pragmatically to client solutions 

## What We're Looking For 

### Required Qualifications 

-   6+ years of full-stack software engineering experience  

-   1-3 years of experience leading or managing technical teams 

-   Demonstrated ability to set technical direction for client-facing initiatives, balancing delivery commitments, stakeholder expectations, and technical quality 

-   Proven ability to lead client projects, build strong relationships, and deliver on-time results aligned with client goals.  

-   Experience designing, building and maintaining production-grade systems in cloud environments (e.g., AWS, Azure, etc.) 

-   Expertise in software engineering best practices, system design, and agile delivery methodologies 

-   Experience with version control systems (e.g., GitHub) and CI/CD processes 

-   Strong written and verbal English communication skills 

### Preferred Qualifications 

-   Experience building or deploying AI-enabled systems, including LLM-based workflows (e.g., RAG, agentic systems, fine-tuning) 

-   Experience with data-intensive systems, including ETL/ELT pipelines and analytical platforms 

-   Experience with Infrastructure as Code (e.g., Terraform) 

-   Experience with workflow orchestration (e.g., Airflow, AWS Step Functions) 

-   Strong experience with SQL and relational or analytical data systems 

-   Associate-level cloud architect certification (e.g., Azure Solutions Architect Associate, AWS Solutions Architect Associate, or equivalent)

Engineering Manager

We’re looking for a Senior Associate Software Engineer to join our growing team. In this role, you’ll build and deploy AI-powered, production-grade software systems within client environments. You’ll operate at the intersection of software engineering, data systems, and applied AI, translating complex business problems into scalable, reliable solutions. 

We're looking for a Senior Associate Software Engineer to join our growing team. In this role, you'll build and deploy AI-powered, production-grade software systems within client environments. You'll operate at the intersection of software engineering, data systems, and applied AI, translating complex business problems into scalable, reliable solutions. 

This position is ideal for engineers who enjoy hands-on system building, working closely with clients, and shaping technical direction and best practices across projects. 

## What You'll Do 

-   Collaborate with cross-functional teams to define business and technical requirements 

-   Partner on design and build data pipelines that ingest, transform, and deliver data from source systems to analytical platforms using modern cloud technologies 

-   Support on design and implement infrastructure and data platforms that enable reliable access, transformation, and analysis of data 

-   Document and maintain data architecture to support reliable, scalable data systems 

-   Contribute to improving engineering practices around quality, maintainability, and operational stability 

-   Mentor and support other engineers through code reviews, design discussions, and day to-day collaboration 

## What We're Looking For 

### Required Qualifications 

-   4+ years of professional software engineering experience, including backend and/or data engineering 

-   Experience delivering production systems in environments with evolving or changing requirements 

-   Experience building and maintaining APIs and backend services (e.g., FastAPI, Node.js, or similar frameworks) 

-   Strong experience with SQL and relational or analytical data systems 

-   Experience working in cloud environments (AWS, Azure) 

-   Experience with modern engineering workflows, including Git-based version control and CI/CD pipelines 

-   Good understanding of software engineering best practices, testing strategies, and agile delivery 

-   Strong written and verbal English communication skills 

### Preferred Qualifications 

-   Hands-on experience building and deploying AI-enabled systems, particularly LLM-powered workflows and orchestration (e.g., LangChain, LangGraph) 

-   Familiarity with Infrastructure as Code tools (e.g., Terraform) 

-   Background in designing and maintaining data pipelines or data-intensive systems 

-   Exposure to data warehouses or large-scale analytical platforms 

-   Knowledge of workflow orchestration or distributed processing systems 

## Why Join Xtillion 

At Xtillion, you'll take ownership of meaningful, production-grade systems and work on software that is relied upon in real-world environments. You'll join a fast-moving team where engineers influence technical direction and uphold strong engineering standards, supported by competitive compensation and meaningful opportunities for career growth. 

## Ready to Build What Matters? 

Join Xtillion and be part of a collaborative team delivering real-world data and AI solutions at scale. If you're excited about taking ownership of complex systems and turning AI into measurable business outcomes, we'd love to hear from you!

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