Senior AI Full-Stack Engineer (Secure Gov AI)

Precise Software Solutions, Inc.; Washington (District of Columbia); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health benefits

Retirement plan with 4% match

PTO 15 days

Training and development

Job summary

Precise Software Solutions, Inc. seeks a Senior AI Full Stack Engineer to lead development of secure AI-enabled applications and manage core build, test, and deployment pipelines. The role spans UI, APIs, RAG pipelines, and agentic workflows within the government AI security framework.

You will mentor engineers, perform code and prompt reviews, and serve as the escalation point for production issues while delivering compliant, accessible solutions in a hybrid Washington, DC environment.

Qualifications

• Bachelor's degree in Engineering, Computer Science, Systems, or related discipline with 5+ years of hands-on AI/ML engineering or software development experience.
• 1+ year hands-on experience with Generative AI, LLM integration, RAG, model evaluation, or production AI systems.
• Strong proficiency in Python for AI-enabled applications, APIs, services, and automation including RAG pipeline design and vector databases.

Responsibilities

• Design, develop, integrate, deploy, and enhance AI-enabled applications, services, and user interfaces with LLMs, embeddings, and vector search.
• Oversee AI testing, evaluation, and security testing (adversarial tests) and maintain RAG knowledge-base refresh.
• Support DevSecOps/MLOps practices including versioning, drift detection, SBOMs, and release documentation.

Skills

Python

Generative AI

LLM integration

RAG

Model evaluation

AI security

APIs

Cloud orchestration

Section 508 / WCAG

React/Angular

Education

Bachelor's degree in Engineering/ CS/ related

Tools

Docker

Kubernetes

LangGraph

LlamaIndex

Semantic Kernel

Bedrock

SageMaker

Lambda

Job description

Precise Software Solutions, Inc. seeks a Senior AI Full Stack Engineer to lead development of secure AI-enabled applications and manage core build, test, and deployment pipelines. The role spans UI, APIs, RAG pipelines, and agentic workflows within the government AI security framework.

You will mentor engineers, perform code and prompt reviews, and serve as the escalation point for production issues while delivering compliant, accessible solutions in a hybrid Washington, DC environment.