AI Engineer (Agentic AI)
Fa Etbx Saasfaprod1 Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Fa Etbx Saasfaprod1. Vienna · full-time · no salary stated · we estimate $132,450–$205,151 across the United States.
Fa Etbx Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build LLM-based AI systems, including agents and chatbots, and assess their accuracy and tendency to produce unsupported answers
- Create data pipelines for structured and unstructured sources, then use retrieval-based methods to ground model responses
- Connect AI models to applications through REST APIs and improve cloud-based solutions for speed and scale
- Apply AI safety and governance controls, protect sensitive data, and maintain model records and technical documentation
- Take part in Agile and CI/CD work, supporting AI-assisted coding and shared engineering plans
What you bring
- You have a relevant technical degree or equivalent education, training and experience
- You bring two to five years building AI solutions such as agents or chatbots with named platforms or comparable tools
- You have applied retrieval-augmented generation and built REST APIs that connect AI models with applications
- You can work with LLMs, prompt design, model evaluation, and data pipelines for structured and unstructured information
Who this fits
This mid-level engineering role suits someone who can build AI applications and collaborate with senior engineers and business and technical teams. You must be authorized to work in the United States without current or future sponsorship. The schedule is Monday through Friday, 8:00 a.m. to 4:30 p.m., at the Vienna, Virginia location; the role is hybrid.
From the employer
Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
The AI Engineering team within the Enterprise Data and Information Management (EDIM) group develops and deploys advanced AI productivity solutions for Navy Federal Credit Union. This role focuses on designing and implementing scalable, secure, and efficient AI systems using state-of-the-art Large Language Models (LLMs) and modern cloud frameworks. The engineer collaborates with Enterprise Technology Services (ETS) and business units to deliver modular, reusable AI components that address complex business challenges. Strong problem-solving, communication, analytical, and leadership skills are essential for success in this position.
As a member of the AI Center for Enablement (C4E), contribute to platform, engineering, and operations to drive the adoption and utilization of AI capabilities, fostering technological innovation and improving member experience through AI capabilities.
Implement AI engineering solutions while adhering to established governance, validation, safety, and transparency guidelines.
Develop AI capabilities using LLM models and evaluate outcomes to ensure accuracy, reduce hallucinations, and assure compliance.
Build and manage data pipelines for structured and unstructured data ingestion.
Implement Retrieval-Augmented Generation (RAG) and other techniques to improve model accuracy and reduce hallucinations.
Ensure compliance with AI governance, security, and ethical standards.
Optimize application performance and scalability using cloud-native solutions.
Participate in Agile development cycles and CI/CD processes for rapid deployment.
Follow established AI standards and assist with model documentation and registration activities in the Model Catalog, in accordance with security and regulatory guidelines.
Contribute to documentation and implementation of approved AI/ML roadmaps and technical plans.
Support developer productivity initiatives by leveraging AI-assisted coding tools and contribute to AI-driven solutions.
Deliver core engineering skills related to LLMs, prompt engineering, and applications delivery.
Collaborate with senior team members to support initiatives that advance NFCU’s AI Center for Enablement capabilities.
Bachelor’s degree in AI Engineering, Computer Science, Data Science, Machine Learning, Data Engineering, or related technical field, or the equivalent combination of education, training and experience.
2-5 years of hands-on experience in building AI solutions, including AI agents and chatbots, using industry-leading platforms (e.g., Azure AI Foundry, Langchain) or similar.
Experience with using Retrieval-Augmented Generation (RAG) for grounding models in factual data and reducing hallucinations.
Experience with API development and integration building RESTful APIs for connecting AI models to applications.
Experience with LLMs (Large Language Models), prompt engineering, and fine-tuning.
Experience with Natural Language Processing (NLP) using tokenization, embeddings, and conversational AI techniques.
Experience with front-end and back-end development using frameworks like React, Angular, and Node.js, Django, or Flask respectively for creating user interfaces and services.
Experience in building data pipelines and data preprocessing for structured and unstructured data sets using platforms such as Databricks or similar.
Experience in using Vector Databases & Graph Databases for semantic search and recommendation systems.
Enable Model Governance implementing transparency, bias detection, and compliance measures.
Implement security controls ensuring safe deployment of AI models and protect sensitive data.
Strong understanding of CI/CD, Git, and Agile methodologies.
Experience using AI-assisted coding tools (e.g. GitHub Copilot) as part of development workflows.
Strong documentation, communication and presentation skills to explain designs and solutions to business and technical stakeholders.
Demonstrated understanding of software engineering fundamentals, including data structures, debugging, unit testing, and writing maintainable, well-documented code.
Familiarity with dependency management, logging, error handling, differences between development, test, and production environments.
Experience evaluating AI and GenAI outputs, applying secure data-handling practices when working with sensitive information.
Experience delivering solutions using Python, SQL and NoSQL capabilities.
Ability to work from defined technical requirements and implementation plans, incorporate feedback from code reviews, and communicate progress and tradeoffs clearly within cross functional teams.
Desired Qualifications
Master’s in AI Engineering, Computer Science, Data Science or related technical field.
- 7+ years of experience in AI engineering or similar.
- Data engineering background.
- Experience with front and backend development frameworks.
- Knowledge of Navy Federal Credit Union instructions, standards, and procedures.
Additional Information
Hours:
- Monday - Friday, 8:00AM - 4:30PM
Location:
- 820 Follin Lane, Vienna, VA 22180