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Job Description

We are seeking a creative and forward-thinking AI Engineer with 3–5 years of experience to join our team. In this role, you will be responsible for developing, prototyping, and deploying AI solutions that drive innovation and deliver measurable impact. The ideal candidate is passionate about exploring new technologies, thrives in building proofs of concept quickly, and consistently stays at the forefront of AI/ML advancements.

What You’ll Be Doing

• Designing, prototyping, and implementing AI/ML solutions to solve complex, real-world problems.
  Rapidly developing proofs of concept to test ideas, demonstrate feasibility, and accelerate innovation.
• Researching and evaluating emerging AI/ML techniques, frameworks, and tools to identify opportunities for adoption.
• Collaborating with product managers, data scientists, and engineers to translate business requirements into scalable AI solutions.
• Training, fine-tuning, and optimizing machine learning models for performance, reliability, and efficiency.
• Contributing to the deployment of AI systems into production environments, ensuring maintainability and security.
• Presenting results, prototypes, and recommendations to leadership and stakeholders in clear, actionable terms.

Skills you must have:

• 3–5 years of hands-on experience developing and deploying AI/ML models.
• Strong proficiency in Python and familiarity with major ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Demonstrated ability to rapidly prototype and iterate on solutions.
• Exceptional problem-solving skills with a curious, innovative mindset.
• Ability to clearly communicate technical results and recommendations to both technical and non-technical stakeholders.
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.

The ideal candidate will have:

• Experience with LLMs, generative AI, or advanced deep learning architectures.
  Familiarity with cloud-based AI/ML platforms (AWS Sagemaker, Azure ML, GCP Vertex AI).
• Understanding of MLOps practices and deployment pipelines.
• Proven ability to track and evaluate emerging AI/ML trends, tools, and research, with a drive to bring fresh ideas into practice.
  A collaborative and entrepreneurial spirit, with enthusiasm for solving problems in new and creative ways.
• Full Stack Development Experience

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related technical field.
  3–5 years of professional experience in AI/ML engineering.
  Strong portfolio of projects or prototypes demonstrating applied machine learning.
• Experience working in agile, fast-paced environments.

Job Description

We are seeking a highly skilled and motivated Systems Engineer to join our team. In this role, you will be responsible for designing, integrating, and managing complex systems across their full lifecycle — from conception and design through testing, deployment, operation, maintenance, and eventual decommissioning. You will collaborate with cross-functional teams to ensure that all subsystems work together seamlessly to meet mission and business requirements.

What you’ll be doing:

• Leading and contributing to systems engineering efforts across the entire system lifecycle: conception, design and development, testing, production, deployment, operation, maintenance & support, and decommissioning.
• Defining and documenting system requirements, architectures, and interfaces.
• Developing system models, diagrams, and technical specifications to guide design and integration.
• Conducting trade studies, risk assessments, and performance analyses to ensure optimal system solutions.
• Supporting integration and verification activities, including testing and validation.
• Collaborating with hardware, software, and operations teams to resolve technical challenges.
• Preparing and presenting technical documentation, briefings, and reports to leadership and stakeholders.
• Ensuring systems comply with security, reliability, and operational standards.

Skills you must have:

• Demonstrated experience working with engineering systems throughout their lifecycle (concept through decommissioning).
• Strong understanding of system architecture, requirements analysis, and integration practices.
• Exceptional communication skills, both written and verbal, with the ability to explain technical concepts to diverse stakeholders.
• Ability to collaborate with cross-functional teams to ensure systems are designed, tested, and delivered successfully.
• Proven ability to analyze complex problems, identify root causes, and propose effective solutions.
• Confidence in presenting system designs, trade studies, and progress to leadership and external partners.

The ideal candidate will have:

• Experience with systems modeling tools (e.g., SysML, UML, MATLAB/Simulink). Familiarity with cloud, networking, and security architectures.
• Hands-on experience with integration and test of complex systems.
• Knowledge of configuration management and system lifecycle documentation practices.
• Ability to balance technical detail with strategic program objectives.
• A proactive, detail-oriented mindset with strong organizational skills.

Qualifications:

• Bachelor’s degree in Systems Engineering, Electrical Engineering, Computer Science, or a related technical field (Master’s a plus).
• 7+ years of relevant systems engineering experience.
• Experience with system lifecycle processes (design, development, testing, deployment, sustainment, decommissioning).
• Familiarity with DoD, IC, or government contracting environments preferred. Active security clearance is strongly desired (TS/SCI with poly preferred depending on program requirements).