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Assistant Ai Prompt Engineer Jobs in Virginia (NOW HIRING)

Code generation assistants Test automation agents Knowledge retrieval systems (RAG) Integrate AI ... prompt engineering, and AI tooling Nice to have: Python, Java

AI Technology Integrator

Chantilly, VA · On-site

$120 - $170/hr

A strong and practical understanding of AI capabilities (specifically prompt engineering, LLMs, and AI tooling), and translating that knowledge into core programmatic functions, such as scheduling ...

A strong and practical understanding of AI capabilities (specifically prompt engineering, LLMs, and AI tooling), and translating that knowledge into core programmatic functions, such as scheduling ...

AI Architect

Fairfax, VA · On-site

$62.50 - $82.50/hr

This is not a pure GenAI prompt engineer or research scientist. Program-Level Leader & Communicator * Acts as AI SME for the entire program * Can: * Define AI governance and usage policies * Educate ...

Salesforce Lead Developer

Tysons, VA · On-site

$56 - $74.25/hr

Salesforce Lead Developer - FSC | Banking | AI & Data Location: Onsite(Tysons, VA) Experience: 10+ ... Develop AI-powered solutions using Agentforce (Agent Builder, Prompt Builder, Einstein AI)

Develop AI workflows and prompts: Design, test, and deploy complex, reusable prompt libraries while ... engineer complex, multi-shot prompts to produce high-fidelity content. * Content Evaluation:

Senior AI Engineer

Reston, VA · Remote

$127K - $168K/yr

Establish prompt frameworks, chaining strategies and reusable AI patterns that scale across teams ... Prompt engineering, prompt chaining, and reusable prompt architectures * Evaluation frameworks for ...

Showing results 41-60

Assistant Ai Prompt Engineer information

Are assistant AI prompt engineers in demand?

Assistant AI prompt engineers are increasingly in demand as organizations seek to optimize AI language models for various applications. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, with job growth driven by expanding AI adoption across industries.

How do I become an Assistant AI Prompt Engineer?

To become an Assistant AI Prompt Engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gaining experience with AI models such as GPT and understanding prompt design techniques are essential, often supported by relevant certifications or coursework. Building a portfolio of prompt engineering projects can also improve job prospects in this emerging field.

What are the most commonly searched types of Ai Prompt Engineer jobs in Virginia?

The most popular types of Ai Prompt Engineer jobs in Virginia are:

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For Assistant Ai Prompt Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Assistant Ai Prompt Engineer jobs in Virginia look for?

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Cities in Virginia with the most Assistant Ai Prompt Engineer job openings:

Other

Posted 5 days ago


Job description

AI Engineer
Fulltime
Location:- Reston, VA/Atlanta, GA

Job Description

Role Overview
We are seeking a hands‑on AI Engineer to design and implement AI‑enabled software engineering solutions that accelerate the Software Development Lifecycle (SDLC) through specification‑driven development and agentic workflows.

This role will focus on transforming business requirements into machine‑readable specifications that drive downstream automation of code, testing, and deployment, improving engineering velocity, quality, and traceability.

Key Responsibilities
1. Spec‑Driven Development Enablement
Translate business requirements into structured, machine‑readable specifications
Implement spec‑as‑source‑of‑truth frameworks driving code, test, and workflow generation
Build integration across specs → agents → repositories → CI/CD pipelines
2. SDLC Automation & Acceleration
Design AI‑enabled workflows across discovery, build, test, and deployment phases
Automate generation of:
Code artifacts
Test cases and validation logic
Technical documentation
Improve SDLC efficiency through AI‑driven orchestration and reusable knowledge bases
3. Agentic Engineering & Workflow Design
Design and implement AI agents and multi‑agent systems for development tasks
Build orchestration layers (“harness”) to ensure:
Repeatability
Consistency
Governance across teams
Enable persona‑based workflows (developer, reviewer, tester)
4. AI Application & Platform Engineering
Develop AI‑powered developer tools, including:
Code generation assistants
Test automation agents
Knowledge retrieval systems (RAG)
Integrate AI systems with enterprise platforms, APIs, and data pipelines
Deploy scalable solutions in cloud environments (e.g., AWS)
5. Testing, Validation & Governance
Implement automated validation frameworks to ensure outputs align with specifications
Design guardrails for:
Accuracy
Security
Compliance
Monitor AI systems for reliability, cost, and performance

Required Qualifications
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
3+ years of experience in:
Software engineering, AI/ML engineering, or related roles
Strong programming skills (Python preferred)

Experience with:
CI/CD pipelines, Git, APIs
Cloud platforms (AWS preferred)
Automated testing frameworks
Familiarity with LLM frameworks, prompt engineering, and AI tooling
Nice to have: Python, Java