Generative AI Engineer — Hybrid, Gov-Ready

TechTrend, Inc.

Reston (VA)

Hybrid

USD 140,000 - 180,000

Full time

8 days ago

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Job summary

TechTrend, Inc. is seeking a hands-on AI Engineer to join the Rapid Innovation Team in Reston, VA. The role focuses on designing, prototyping, and delivering Generative AI and AI-enabled solutions for enterprise and federal customers.

You will collaborate with cloud, software, and AI engineers to build AI assistants, automation, and ML solutions that solve real customer challenges. The ideal candidate is a strong software engineer with practical AI/ML or Generative AI experience and a passion

Qualifications

Bachelor's degree in Computer Science, Software Engineering, AI, Data Science, or related field.
5+ years of professional software engineering or related experience.
2+ years hands-on AI/ML or Generative AI experience.
Experience building applications using LLMs, Generative AI, RAG or related AI tech.
Experience developing and integrating REST APIs.
Experience deploying applications to a cloud environment (preferably GCP).
Familiarity with Git, testing, CI/CD, and containerization.
Ability to collaborate with technical and non-technical stakeholders.
Strong problem-solving and quick learning of new AI technologies.
Proven ability turn an AI concept into a working application.

Responsibilities

Design and develop AI and Generative AI solutions using Python and cloud AI services.
Build prototypes and proof-of-concepts demonstrating AI tech benefits.
Develop applications using LLMs, RAG, embeddings, and AI orchestration frameworks.
Create AI-powered assistants, copilots, and automation workflows.
Develop APIs and integrate AI capabilities into enterprise apps.
Work with GCP services like Vertex AI, Gemini, BigQuery, Document AI.
Build and deploy AI apps using Docker and cloud-native tech (Kubernetes/GKE).
Develop data pipelines to move AI solutions from prototype to production.
Apply best practices: version control, testing, CI/CD, infra automation.
Collaborate with engineers, architects, product owners, stakeholders.
Evaluate new AI tech and recommend approaches for customers.
Contribute to secure, scalable AI solutions for mission-critical use.