Versar Global Solutions is looking to leverage AI solutions and digital tools to improve efficiency, scalability, and the overall digital experience for both internal teams and external customers by developing, implementing, and supporting cutting-edge geospatial technologies.
Requirements
- Proven experience as an AI/ML Developer with a focus on intelligent agents and multi-agent system design.
- Strong proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow or PyTorch.
- Hands-on experience developing multi-agent systems (i.e., orchestration, fine tuning, microservices) for customer-facing products.
- In-depth knowledge of GPU architectures (e.g., CUDA) and practical performance optimization techniques.
- Experience supporting customer-facing products with focus on uptime, throughput, and low latency.
- Familiarity with geospatial data formats, tools, and solutions.
- Leverage GPU architecture expertise to optimize computational resource usage and enhance model performance.
Responsibilities
- Design, develop, and deploy intelligent agents for data analysis and decision-making.
- Implement and manage multi-agent systems to solve complex problems.
- Optimize AI models for performance and scalability.
- Write clean, efficient, and well-documented code supporting the full AI development lifecycle, from data processing to deployment.
- Build production-ready ML systems that integrate LLMs into applications.
- Handle model deployment and scaling infrastructure.
- Create evaluation frameworks for model performance.
Other
- Must be able to obtain and maintain a Secret Security Clearance.
- Successful results of preemployment screenings, including federal background check, MVR, and drug screen.
- Comply with company drug and alcohol policy.
- Be authorized to work in the US or will be authorized by the successful candidate’s start date.
- Strong communication and interpersonal skills
