AI Solution Engineer in Somerville, Massachusetts at KNAPPRobotics.ai Inc.

NewSalary: $125300 - $160000
KNAPPRobotics.ai Inc.
Somerville, Massachusetts, 02144, United States
Posted on
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Job Description

Title of the Position: AI Solution Engineer

Employment Status: Salary, Exempt

Department: Department R&D

Accountable to:

This position reports directly to the Team Lead. In the absence of the direct supervisor, Employee would report to the Department Lead R&D.

Supervisory Responsibilities: No

Job Summary:

The AI Solution Engineer designs, develops, and operationalizes AI and machine learning solutions within the Robotics Software Development domain. The role acts as a bridge between business stakeholders and technical implementation, ensuring that AI solutions are scalable, production-ready, and aligned with customer and organizational needs. This position plays a key role in translating real-world logistics and robotics challenges into intelligent, data-driven systems deployed in customer environments.

Essential Functions and Responsibilities:

  • Partner with cross-functional stakeholders (product management, engineering, and customers) to identify business problems and translate them into AI-driven solution designs.
  • Design, develop, and maintain end-to-end machine learning pipelines, including data ingestion, preparation, training, validation, and benchmarking.
  • Integrate, test, and deploy AI models into production environments, particularly within KiSoft RSC solutions.
  • Continuously analyze and improve model performance through data-driven optimization and refinement techniques.
  • Ensure scalability, robustness, and reliability of deployed AI systems in real-world customer operations.
  • Develop efficient inference pipelines and optimize models for performance and resource utilization.
  • Collaborate with DevOps and platform teams to implement MLOps practices for automated deployment and monitoring.
  • Monitor live systems, troubleshoot issues, and ensure operational stability of AI solutions.
  • Document solutions, architectures, and processes to ensure knowledge transfer and maintainability.

    • Requirements and Qualifications

  • 3+ years' experience in Software Development within a relevant industry
  • Advanced proficiency in Python and solid software engineering skills.
  • Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow.
  • Strong understanding of MLOps concepts, tools (e.g., MLflow, Skypilot), and CI/CD practices.
  • Experience with cloud platforms such as AWS, Azure, or OCI.
  • Proven track record in deploying and optimizing machine learning models in production.
  • Knowledge of large language models (LLMs), vision-language models, or computer vision techniques is an advantage.
  • Strong analytical, problem-solving, and debugging skills.
  • Ability to work in cross-functional teams and communicate complex technical topics effectively.
  • Fluent in English (written and spoken); German is a plus.

    • Other Duties and Responsibilities:

  • Contribute to internal knowledge sharing, documentation, and training sessions.
  • Stay up to date with emerging AI technologies, tools, and industry trends.
  • Support continuous improvement of development standards, tools, and processes.
  • Actively contribute to innovation initiatives and pilot projects within the organization.
  • Promote a culture of ownership, accountability, and continuous learning.

    • Working Conditions and Environment:

  • Work is performed in a professional office and software development environment.
  • Hybrid working model possible depending on project requirements and business needs.
  • Collaboration with international and cross-functional teams.
  • Traveling is required for customer integration, workshops, or trainings.
  • Fast-paced, innovation-driven R&D environment with evolving priorities.

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    Job Location

    Somerville, Massachusetts, 02144, United States

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