AI Engineer (Agent Developer)

Job Description

Job Description Salary: At Endyna, Inc., we serve the public interest by providing technical, scientific, and management services to federal agencies. For our newly awarded EPA Contract A123, we are seeking a highly skilled and motivated AI Engineer to join our team. You will play a central role in designing, developing, and deploying intelligent systems to assist in workflow automation, fraud detection, and resource optimization.

Position Summary The AI Engineer (AIE) will lead the design and implementation of AI-powered agents and systems using state-of-the-art Large Language Models (LLMs) and machine learning techniques. This position will be instrumental in building tools to ingest multimodal data (text, images, structured data), perform reasoning, and generate multimodal outputs. The work will support grants management functions such as detecting waste, fraud, or abuse, and optimizing internal workflows. The AIE will collaborate closely with domain experts, engineers, data scientists, and EPA stakeholders to deliver robust, scalable solutions that further the mission of the agency.

Key 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

Required Skills & Experience Bachelors degree in Computer Science, Engineering, or related field required; Masters 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

Security, Clearances & Additional Requirements Must be a U.S. citizen or meet required eligibility for government contracts Ability to obtain and maintain any required security clearance or background check Willingness to adhere to contract-specific security, compliance, and auditing protocols Ability and willingness to travel occasionally, if required by contract (e.g. EPA site visits)

Benefits & Perks Competitive salary based on experience and qualifications. 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.

It is EnDynas policy to promote equal employment opportunities. All qualified applicants will receive consideration for employment without regard to sex, race, color, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

How to Apply Please submit your application through the Endyna Careers portal, including: A cover letter summarizing your relevant experience with AI/ML, agent development, and domain relevance Updated resume / CV Optional: links to GitHub, published papers or demos of AI/ML systems youve built