Senior AI Full-Stack Engineer — Gov AI & RAG (Hybrid)

PRECISE SOFTWARE SOLUTIONS INCORPORATED; Washington (District of Columbia); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Comprehensive Health Benefits

Retirement Plan with 4% match

PTO 15 days + holidays + floating days

Disability coverage

Parental leave

Training and development

Wellness incentives

Job summary

Precise Software Solutions, Inc. seeks a Senior AI Full Stack Engineer to build, test, deploy, and operate secure AI-enabled applications for a government delivery program.

You will own core build, test, and pipelines across full stack—from interfaces to APIs and RAG workflows—ensuring security and accessibility. The role requires leadership in AI security testing, collaboration with cross-functional teams, and escalation for production issues.

Qualifications

• Bachelor's degree in Engineering, CS, Systems, or related discipline.
• 5+ years in AI/ML engineering and AI-enabled app development.
• Experience with Generative AI, LLM integration, and RAG.
• Proficiency in Python for AI-enabled APIs and workflows.
• Knowledge of AI security and testing in enterprise or federal clouds.

Responsibilities

• Design, develop, deploy, and secure AI-enabled applications and UIs.
• Lead AI security testing, prompt engineering, and model evaluation.
• Manage DevSecOps, MLOps, SBOMs, and release documentation.
• Provide Tier 2/3 production support and root-cause analysis.
• Mentor developers and provide technical backup for lead AI engineer.

Skills

Python

AI/ML engineering

Front-end development

CI/CD tooling

Cloud engineering

Education

Bachelor's degree

Tools

LangGraph

LlamaIndex

Semantic Kernel

AWS Bedrock

SageMaker

Job description

Precise Software Solutions, Inc. seeks a Senior AI Full Stack Engineer to build, test, deploy, and operate secure AI-enabled applications for a government delivery program.

You will own core build, test, and pipelines across full stack—from interfaces to APIs and RAG workflows—ensuring security and accessibility. The role requires leadership in AI security testing, collaboration with cross-functional teams, and escalation for production issues.