Pay · estimate~$145k – $195kMarket rate · not set by employer
PostedNov 15, 2026
LevelMid level
In short
TechTrend is looking for a hands-on AI Engineer to join our Rapid Innovation Team—a collaborative group focused on designing, prototyping, and delivering innovative AI solutions…
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📋 About the job
Generative AI Engineer
TechTrend is looking for a hands-on AI Engineer to join our Rapid Innovation Team—a collaborative group focused on designing, prototyping, and delivering innovative AI solutions for enterprise and U.S. Government customers.
This is an opportunity to work with emerging AI technologies and turn ideas into practical solutions. You'll collaborate with experienced cloud, software, and AI engineers to build Generative AI applications, intelligent automation, AI assistants, and machine learning solutions that address real-world customer challenges.
The ideal candidate is a strong software engineer with practical experience building AI/ML or Generative AI solutions and a passion for learning new technologies.
Important : U.S. citizenship is required due to federal customer requirements. This position is based in Reston, VA and follows a hybrid schedule with three days per week in the office. Candidates must be able to pass a background investigation and obtain/maintain any required government clearance or public trust, if applicable.
✅RESPONSIBILITIES
✅Design and develop AI and Generative AI solutions using Python and cloud-based AI services.
✅Build prototypes and proof-of-concepts that demonstrate how emerging AI technologies can solve customer and business problems.
✅Develop applications using LLMs, Retrieval-Augmented Generation (RAG), embeddings, vector databases, prompt engineering, and AI orchestration frameworks.
✅Build AI-powered assistants, copilots, workflow automation, and decision-support applications.
✅Develop APIs and integrate AI capabilities into existing enterprise applications and workflows.
✅Work with Google Cloud Platform (GCP) and services such as Vertex AI, Gemini, BigQuery, and Document AI.
✅Build and deploy AI applications using Docker and cloud-native technologies, with exposure to Kubernetes/GKE.
✅Develop data pipelines and supporting services required to move AI solutions from prototype to production.
✅Implement software engineering best practices including version control, automated testing, CI/CD, and infrastructure automation.
✅Collaborate with software engineers, cloud architects, product owners, and business stakeholders to translate customer needs into practical AI solutions.
✅Evaluate emerging AI technologies, frameworks, and models and recommend approaches that can improve customer solutions.
✅Contribute to responsible, secure, and scalable AI solutions appropriate for mis…