AI Developer (Agent-Based Systems)

Description

• Configure, manage, and deploy local AI models while ensuring adherence to performance, compliance, and security standards.
• Design, develop, and deploy intelligent agents for data analysis and decision-making.
• Document system configurations, procedures, and support activities related to AI services.
• Write clean, efficient, and well-documented code supporting the full AI development lifecycle, from data processing to deployment.
• Create evaluation frameworks for model performance.
• Collaborate with GIS teams to integrate AI solutions into geospatial workflows.
• Optimize AI models for performance and scalability.
• Implement and manage multi-agent systems to solve complex problems.
• Leverage GPU architecture expertise to optimize computational resource usage and enhance model performance.
• Build production-ready ML systems that integrate LLMs into applications.
• Handle model deployment and scaling infrastructure.
• Comply with company drug and alcohol policy.

Requirements

• Familiarity with geospatial data formats, tools, and solutions.
• Customer Knowledge: Familiarity with Federal Market and technical approaches related to next-generation cloud, network, and cybersecurity technologies.
• Excellent problem-solving and analytical skills.
• Digital and Technology Expertise: Understanding of various digital technologies, platforms, and tools relevant to the program's objectives.
• In-depth knowledge of GPU architectures (e.g., CUDA) and practical performance optimization techniques.
• Communication and Interpersonal Skills: Ability to communicate effectively with diverse stakeholders, build relationships, and influence decision-making.
• Proven experience as an AI/ML Developer with a focus on intelligent agents and multi-agent system design.
• Must be proficient in English, both written and verbal, to ensure effective communication and collaboration.
• Be authorized to work in the US or will be authorized by the successful candidate’s start date.
• Experience supporting customer-facing products with focus on uptime, throughput, and low latency.
• Problem-Solving and Analytical Skills: Ability to identify and solve complex problems, analyze data, and make data-driven decisions.
• Strong communication and interpersonal skills
• Successful results of preemployment screenings, including federal background check, MVR, and drug screen.
• Hands-on experience developing multi-agent systems (i.e., orchestration, fine tuning, microservices) for customer-facing products.
• Strong Project Management Skills: Ability to plan, organize, and manage multiple projects simultaneously, ensuring they are completed on time and within budget.
• Leadership and Team Management Skills: Ability to lead and motivate teams, build consensus, and drive collaboration.
• Strong proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow or PyTorch.
• Must be able to obtain and maintain a Secret Security Clearance.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance