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SYSTEMS
ENGINEER

We’re seeking a talented and motivated Systems Engineer to play a pivotal role in deploying cutting-edge AI solutions for our diverse client base. 

LOCATION

New England

EMPLOYMENT TYPE

Permanent or Contract

What You’ll Do

  • Design & Implement Integrated Systems: You will be at the forefront of building and deploying AI-powered solutions for our clients. This includes designing robust system architectures, integrating AI models (developed internally or through third-party APIs) into existing client workflows, and ensuring seamless data flow between various components. Expect to work with a diverse range of technologies and tackle complex integration challenges.
     

  • Infrastructure Management & Automation: A significant portion of your role will involve configuring, maintaining, and automating the infrastructure that supports our AI solutions. This encompasses server setup (both cloud & on-premise), networking, storage, and security protocols. You’ll be leveraging tools like Terraform, Ansible, or similar to streamline deployments and ensure system reliability.
     

  • Data Pipeline Development & Optimization: AI thrives on data! You’ll be responsible for building and optimizing data pipelines to ingest, transform, and prepare data for AI model training and inference. This includes working with databases (SQL & NoSQL), ETL processes, and data quality monitoring tools to ensure our solutions have access to clean, reliable information.

  • Testing & Troubleshooting: Rigorous testing is crucial for delivering high-quality AI solutions. You’ll be designing and executing comprehensive test plans to validate system functionality, performance, and security. Furthermore, you’ll be a key player in troubleshooting issues, identifying root causes, and implementing effective solutions to keep our projects on track.
     

  • Collaboration & Client Interaction: You won’t be working in a silo! This role requires close collaboration with our AI scientists, project managers, and directly with clients to understand their needs and translate them into technical specifications. Expect regular communication and the opportunity to present solutions and provide technical guidance.
     

  • Continuous Learning & Innovation: The AI landscape is constantly evolving. We encourage our Systems Engineers to stay up-to-date with the latest technologies and best practices. You’ll have opportunities to explore new tools, contribute to internal research & development efforts, and help us push the boundaries of what’s possible with AI integration.

Who You are

  • Problem-Solving Prowess & Analytical Thinking: You possess a natural curiosity and a knack for dissecting complex problems into manageable components. You’re not afraid to dive deep, investigate issues thoroughly, and leverage data-driven insights to identify effective solutions. A strong analytical mindset is essential for success in this role.
     

  • Adaptability & Growth Mindset: The AI field is dynamic and fast-paced. We’re looking for individuals who embrace change, are eager to learn new technologies quickly, and aren't deterred by ambiguity. A willingness to experiment, iterate, and continuously expand your skillset is highly valued.
     

  • Strong Communication & Collaboration Skills: You can effectively communicate technical concepts to both technical and non-technical audiences. You thrive in a team environment, actively share knowledge with colleagues, and are comfortable collaborating with diverse stakeholders – including clients.

  • Ownership & a Results-Oriented Approach: You take pride in your work and are committed to delivering high-quality results. You’re proactive, self-motivated, and take ownership of your projects from inception to completion. A strong sense of responsibility and a desire to see solutions succeed are key attributes.
     

  • Solid Foundation in Systems Engineering Principles: You have a strong understanding of core systems engineering concepts, including networking, security, operating systems (Linux & Windows), and cloud computing principles. While specific tool experience is valuable, a fundamental grasp of these concepts is paramount.

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