Hybrid AI Engineer

at EnDyna Inc

• Job title: AI Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Microservices, Python, PyTorch, Tensorflow
• Location requirements: Hybrid, McLean, United States

About the role

• AI Engineer developing intelligent systems to assist in workflow automation and fraud detection at Endyna, Inc. Collaborating with engineers and domain experts to deliver scalable AI solutions.

Responsibilities

• Architect, develop, and maintain AI agents and applications using modern LLMs, reinforcement learning, or hybrid reasoning systems
• Ingest, preprocess, and fuse multimodal data sources (e.g., text, tabular, image, sensor)
• Develop supervised, unsupervised, and semi-supervised machine learning models tailored to domain tasks
• Build and maintain APIs, microservices, and integration layers to support deployment of agent capabilities
• Design reasoning and decision-making pipelines within agents (e.g. planning, constraint solving, sequential decision-making)
• Generate multimodal outputs (e.g. reports, visualizations, alerts, summaries)
• Develop and monitor metrics for agent performance, drift detection, and model validation
• Collaborate with grants / compliance / audit teams to understand domain needs (waste, fraud, abuse)
• Conduct code reviews, write documentation, and apply best practices in software engineering and ML operations
• Stay current with advances in AI/ML, and recommend new tools and architectures for incorporation.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field required; Master’s degree preferred
• Formal training in machine learning, artificial intelligence, or related field
• Proven experience developing AI/ML systems, ideally in production
• Hands-on experience with modern LLMs (e.g. OpenAI, GPT, LLaMA, etc.) or similar large-scale language models
• Strong proficiency in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.)
• Experience developing APIs, microservices, and deployment tooling
• Expertise in data ingestion, feature engineering, and multimodal fusion
• Experience with both supervised and unsupervised learning methods
• Familiarity with reasoning, planning, or hybrid AI systems
• Experience in workflow optimization, anomaly detection, fraud/waste/abuse detection (especially in a government or financial domain) is a plus
• Strong analytical, problem-solving, and communication skills
• Demonstrated ability to work collaboratively in a team environment.

Benefits

• Medical, dental, and vision insurance for employees and dependents.
• 401(k) with employer match.
• Paid time off (PTO) and holidays.
• Short-term and long-term disability coverage and life insurance.
• Free parking and close access to public transit.